fogside
/
rpm_characters_concepts
Consistent view characters with ControlNet and Stable Diffusion fine-tuned on Ready Player Me characters based on OpenJourneyV4
Prediction
fogside/rpm_characters_concepts:146f3bdcIDxfgmefp6azfnrjzwb7bylkikmaStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night
- body_type
- masculine
- negative_prompt
- handbag
{ "prompt": "male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "masculine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", body_type: "masculine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "masculine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "masculine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night"' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "masculine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-07T17:03:07.711046Z", "created_at": "2023-05-07T17:02:59.029791Z", "data_removed": false, "error": null, "id": "xfgmefp6azfnrjzwb7bylkikma", "input": { "prompt": "male, man wizard, purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "masculine", "negative_prompt": "handbag" }, "logs": "Using seed: 64338\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.26it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.55it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.87it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.94it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.27it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.77it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.56it/s]\n 60%|██████ | 12/20 [00:01<00:00, 9.04it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.20it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.34it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.49it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.72it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.48it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.58it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.64it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.35it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.54it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.76it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.71it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.47it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.05it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.92it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.82it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.41it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.23it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.71it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.80it/s]", "metrics": { "predict_time": 8.629553, "total_time": 8.681255 }, "output": [ "https://replicate.delivery/pbxt/3tN1IX4Ag367FVW4dFJ77wD3YUCEzZeu2P4N2BnzXcLlXscIA/out-0.png" ], "started_at": "2023-05-07T17:02:59.081493Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xfgmefp6azfnrjzwb7bylkikma", "cancel": "https://api.replicate.com/v1/predictions/xfgmefp6azfnrjzwb7bylkikma/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 64338 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.26it/s] 10%|█ | 2/20 [00:00<00:07, 2.55it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.87it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.94it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.27it/s] 40%|████ | 8/20 [00:01<00:01, 7.77it/s] 50%|█████ | 10/20 [00:01<00:01, 8.56it/s] 60%|██████ | 12/20 [00:01<00:00, 9.04it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.20it/s] 70%|███████ | 14/20 [00:02<00:00, 9.34it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.49it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.72it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.48it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.58it/s] 100%|██████████| 20/20 [00:02<00:00, 9.64it/s] 100%|██████████| 20/20 [00:02<00:00, 7.35it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.54it/s] 40%|████ | 2/5 [00:00<00:01, 2.76it/s] 60%|██████ | 3/5 [00:00<00:00, 3.71it/s] 80%|████████ | 4/5 [00:01<00:00, 4.47it/s] 100%|██████████| 5/5 [00:01<00:00, 5.05it/s] 100%|██████████| 5/5 [00:01<00:00, 3.92it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.82it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.41it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.23it/s] 100%|██████████| 7/7 [00:00<00:00, 10.71it/s] 100%|██████████| 7/7 [00:00<00:00, 7.80it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDpuwx6xvwx5gupmcnxclknu74f4StatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-07T17:09:20.396960Z", "created_at": "2023-05-07T17:09:11.316304Z", "data_removed": false, "error": null, "id": "puwx6xvwx5gupmcnxclknu74f4", "input": { "prompt": "Hogwarts outfit, madame wearing ginger braids, victorian style, earthy colors, mecha girl, with translucent helmets, robotic arms, wearing frosted milky white jackets; Trendy and eclectic clothing featuring vintage-inspired prints, earthy tones, and quirky accessories., milky white short skirts, looking at viewer, bored pose, full body, black background centered, fine luster, clay materials, cyberpunk, IP by pop mart, mockup blind box, ((minimalistic))", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 32976\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.20it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.44it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.67it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.76it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.83it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.58it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.26it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.72it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.19it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.01it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.17it/s]\n 60%|██████ | 12/20 [00:02<00:00, 8.38it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 8.53it/s]\n 70%|███████ | 14/20 [00:02<00:00, 8.68it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 8.94it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.12it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.25it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.29it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.44it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.28it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.82it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.41it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.61it/s]\n 60%|██████ | 3/5 [00:01<00:00, 3.60it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.37it/s]\n100%|██████████| 5/5 [00:01<00:00, 4.97it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.78it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.69it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.92it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.33it/s]\n100%|██████████| 7/7 [00:01<00:00, 9.35it/s]\n100%|██████████| 7/7 [00:01<00:00, 6.95it/s]", "metrics": { "predict_time": 9.032865, "total_time": 9.080656 }, "output": [ "https://replicate.delivery/pbxt/9xSraE7mZNrxF9tfsKEm4rEf4O5Uy3dDyKzbLTjayGefTjlDB/out-0.png" ], "started_at": "2023-05-07T17:09:11.364095Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/puwx6xvwx5gupmcnxclknu74f4", "cancel": "https://api.replicate.com/v1/predictions/puwx6xvwx5gupmcnxclknu74f4/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 32976 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.20it/s] 10%|█ | 2/20 [00:00<00:07, 2.44it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.67it/s] 20%|██ | 4/20 [00:01<00:03, 4.76it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.83it/s] 30%|███ | 6/20 [00:01<00:02, 6.58it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.26it/s] 40%|████ | 8/20 [00:01<00:01, 7.72it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.19it/s] 50%|█████ | 10/20 [00:01<00:01, 8.01it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.17it/s] 60%|██████ | 12/20 [00:02<00:00, 8.38it/s] 65%|██████▌ | 13/20 [00:02<00:00, 8.53it/s] 70%|███████ | 14/20 [00:02<00:00, 8.68it/s] 75%|███████▌ | 15/20 [00:02<00:00, 8.94it/s] 80%|████████ | 16/20 [00:02<00:00, 9.12it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.25it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.29it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.44it/s] 100%|██████████| 20/20 [00:02<00:00, 9.28it/s] 100%|██████████| 20/20 [00:02<00:00, 6.82it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.41it/s] 40%|████ | 2/5 [00:00<00:01, 2.61it/s] 60%|██████ | 3/5 [00:01<00:00, 3.60it/s] 80%|████████ | 4/5 [00:01<00:00, 4.37it/s] 100%|██████████| 5/5 [00:01<00:00, 4.97it/s] 100%|██████████| 5/5 [00:01<00:00, 3.78it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.69it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.92it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.33it/s] 100%|██████████| 7/7 [00:01<00:00, 9.35it/s] 100%|██████████| 7/7 [00:01<00:00, 6.95it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcID6qavr5ivlvhu5fz7cbgkbdrbbyStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- 3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper's bazaar art, fashion magazine, model, with hallucination mushroom
- body_type
- masculine
- negative_prompt
- handbag, (monochrome)
{ "prompt": "3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper's bazaar art, fashion magazine, model, with hallucination mushroom ", "body_type": "masculine", "negative_prompt": "handbag, (monochrome)" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper's bazaar art, fashion magazine, model, with hallucination mushroom ", body_type: "masculine", negative_prompt: "handbag, (monochrome)" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper's bazaar art, fashion magazine, model, with hallucination mushroom ", "body_type": "masculine", "negative_prompt": "handbag, (monochrome)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper\'s bazaar art, fashion magazine, model, with hallucination mushroom ", "body_type": "masculine", "negative_prompt": "handbag, (monochrome)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i $'prompt="3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper\'s bazaar art, fashion magazine, model, with hallucination mushroom "' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag, (monochrome)"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper\'s bazaar art, fashion magazine, model, with hallucination mushroom ", "body_type": "masculine", "negative_prompt": "handbag, (monochrome)" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-07T17:21:43.322055Z", "created_at": "2023-05-07T17:21:34.213050Z", "data_removed": false, "error": null, "id": "6qavr5ivlvhu5fz7cbgkbdrbby", "input": { "prompt": "3d render male Mulan, traditional orange japanese clothes, layered clothing, unusual outfit pattern, edgy and rebellious clothing featuring band tees, combat boots, ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, vogue, harper's bazaar art, fashion magazine, model, with hallucination mushroom ", "body_type": "masculine", "negative_prompt": "handbag, (monochrome)" }, "logs": "Using seed: 16892\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.20it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.42it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.56it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.73it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.69it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.52it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.31it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.70it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.92it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.06it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.39it/s]\n 60%|██████ | 12/20 [00:02<00:00, 8.56it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 8.61it/s]\n 70%|███████ | 14/20 [00:02<00:00, 8.68it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 8.47it/s]\n 80%|████████ | 16/20 [00:02<00:00, 8.50it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 8.55it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 8.34it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.70it/s]\n100%|██████████| 20/20 [00:03<00:00, 8.51it/s]\n100%|██████████| 20/20 [00:03<00:00, 6.63it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.50it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.74it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.70it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.47it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.01it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.88it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.73it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.22it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.03it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.16it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.46it/s]", "metrics": { "predict_time": 9.048607, "total_time": 9.109005 }, "output": [ "https://replicate.delivery/pbxt/yfne2oPYwUm780R7bFgyP8DAUKFay1jvfyNpBe1l1bbaCklDB/out-0.png" ], "started_at": "2023-05-07T17:21:34.273448Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6qavr5ivlvhu5fz7cbgkbdrbby", "cancel": "https://api.replicate.com/v1/predictions/6qavr5ivlvhu5fz7cbgkbdrbby/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 16892 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.20it/s] 10%|█ | 2/20 [00:00<00:07, 2.42it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.56it/s] 20%|██ | 4/20 [00:01<00:03, 4.73it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.69it/s] 30%|███ | 6/20 [00:01<00:02, 6.52it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.31it/s] 40%|████ | 8/20 [00:01<00:01, 7.70it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.92it/s] 50%|█████ | 10/20 [00:01<00:01, 8.06it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.39it/s] 60%|██████ | 12/20 [00:02<00:00, 8.56it/s] 65%|██████▌ | 13/20 [00:02<00:00, 8.61it/s] 70%|███████ | 14/20 [00:02<00:00, 8.68it/s] 75%|███████▌ | 15/20 [00:02<00:00, 8.47it/s] 80%|████████ | 16/20 [00:02<00:00, 8.50it/s] 85%|████████▌ | 17/20 [00:02<00:00, 8.55it/s] 90%|█████████ | 18/20 [00:02<00:00, 8.34it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.70it/s] 100%|██████████| 20/20 [00:03<00:00, 8.51it/s] 100%|██████████| 20/20 [00:03<00:00, 6.63it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.50it/s] 40%|████ | 2/5 [00:00<00:01, 2.74it/s] 60%|██████ | 3/5 [00:00<00:00, 3.70it/s] 80%|████████ | 4/5 [00:01<00:00, 4.47it/s] 100%|██████████| 5/5 [00:01<00:00, 5.01it/s] 100%|██████████| 5/5 [00:01<00:00, 3.88it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.73it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.22it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.03it/s] 100%|██████████| 7/7 [00:00<00:00, 10.16it/s] 100%|██████████| 7/7 [00:00<00:00, 7.46it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDtfistt2yinebdly6pin6njzztqStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata
- body_type
- feminine
- negative_prompt
- goth, ((monochrome)), boring outfit
{ "prompt": "female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata ", "body_type": "feminine", "negative_prompt": "goth, ((monochrome)), boring outfit" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata ", body_type: "feminine", negative_prompt: "goth, ((monochrome)), boring outfit" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata ", "body_type": "feminine", "negative_prompt": "goth, ((monochrome)), boring outfit" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata ", "body_type": "feminine", "negative_prompt": "goth, ((monochrome)), boring outfit" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata "' \ -i 'body_type="feminine"' \ -i 'negative_prompt="goth, ((monochrome)), boring outfit"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata ", "body_type": "feminine", "negative_prompt": "goth, ((monochrome)), boring outfit" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-07T17:37:15.960182Z", "created_at": "2023-05-07T17:37:07.018619Z", "data_removed": false, "error": null, "id": "tfistt2yinebdly6pin6njzztq", "input": { "prompt": "female bandit in a post apocalyptic wasteland, key visual, highly detailed, breathtaking beauty, comprehensive cinematic, best quality, ultra sharp focus, Takeshi Obata ", "body_type": "feminine", "negative_prompt": "goth, ((monochrome)), boring outfit" }, "logs": "Using seed: 24879\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.25it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.56it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.83it/s]\n 20%|██ | 4/20 [00:01<00:03, 5.04it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 6.09it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.98it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.70it/s]\n 40%|████ | 8/20 [00:01<00:01, 8.04it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.44it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.82it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.86it/s]\n 60%|██████ | 12/20 [00:01<00:00, 8.96it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.14it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.33it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.26it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.26it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.13it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.21it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.37it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.84it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.05it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.54it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.78it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.76it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.52it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.05it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.93it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.63it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.67it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.02it/s]\n100%|██████████| 7/7 [00:01<00:00, 8.98it/s]\n100%|██████████| 7/7 [00:01<00:00, 6.67it/s]", "metrics": { "predict_time": 8.898236, "total_time": 8.941563 }, "output": [ "https://replicate.delivery/pbxt/KsITVx3iduqvGl3749IeWisL9BZ3dfq5NNmIOgTx8ZPLPZ5QA/out-0.png" ], "started_at": "2023-05-07T17:37:07.061946Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tfistt2yinebdly6pin6njzztq", "cancel": "https://api.replicate.com/v1/predictions/tfistt2yinebdly6pin6njzztq/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 24879 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.25it/s] 10%|█ | 2/20 [00:00<00:07, 2.56it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.83it/s] 20%|██ | 4/20 [00:01<00:03, 5.04it/s] 25%|██▌ | 5/20 [00:01<00:02, 6.09it/s] 30%|███ | 6/20 [00:01<00:02, 6.98it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.70it/s] 40%|████ | 8/20 [00:01<00:01, 8.04it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.44it/s] 50%|█████ | 10/20 [00:01<00:01, 8.82it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.86it/s] 60%|██████ | 12/20 [00:01<00:00, 8.96it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.14it/s] 70%|███████ | 14/20 [00:02<00:00, 9.33it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.26it/s] 80%|████████ | 16/20 [00:02<00:00, 9.26it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.13it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.21it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.37it/s] 100%|██████████| 20/20 [00:02<00:00, 8.84it/s] 100%|██████████| 20/20 [00:02<00:00, 7.05it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.54it/s] 40%|████ | 2/5 [00:00<00:01, 2.78it/s] 60%|██████ | 3/5 [00:00<00:00, 3.76it/s] 80%|████████ | 4/5 [00:01<00:00, 4.52it/s] 100%|██████████| 5/5 [00:01<00:00, 5.05it/s] 100%|██████████| 5/5 [00:01<00:00, 3.93it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.63it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.67it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.02it/s] 100%|██████████| 7/7 [00:01<00:00, 8.98it/s] 100%|██████████| 7/7 [00:01<00:00, 6.67it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDac4cmunz5vh3rdnp5ggowonotmStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- biker-rebel in studio ghibli style
- body_type
- masculine
- negative_prompt
- handbag
{ "prompt": "biker-rebel in studio ghibli style", "body_type": "masculine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "biker-rebel in studio ghibli style", body_type: "masculine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "biker-rebel in studio ghibli style", "body_type": "masculine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "biker-rebel in studio ghibli style", "body_type": "masculine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="biker-rebel in studio ghibli style"' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "biker-rebel in studio ghibli style", "body_type": "masculine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-08T11:57:55.598625Z", "created_at": "2023-05-08T11:57:45.605011Z", "data_removed": false, "error": null, "id": "ac4cmunz5vh3rdnp5ggowonotm", "input": { "prompt": "biker-rebel in studio ghibli style", "body_type": "masculine", "negative_prompt": "handbag" }, "logs": "Using seed: 29517\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:16, 1.19it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.44it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.67it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.29it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.42it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.18it/s]\n 60%|██████ | 12/20 [00:01<00:00, 8.69it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.12it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.46it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.68it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.76it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.33it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.45it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.69it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.70it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.49it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.09it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.88it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.59it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.91it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.92it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.56it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.38it/s]", "metrics": { "predict_time": 9.947719, "total_time": 9.993614 }, "output": [ "https://replicate.delivery/pbxt/8YjnqIdXK65RCBYWfUyRohVR4xyNzyRcmZz9fZUfdGeJclmDB/out-0.png" ], "started_at": "2023-05-08T11:57:45.650906Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ac4cmunz5vh3rdnp5ggowonotm", "cancel": "https://api.replicate.com/v1/predictions/ac4cmunz5vh3rdnp5ggowonotm/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 29517 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.19it/s] 10%|█ | 2/20 [00:00<00:07, 2.44it/s] 20%|██ | 4/20 [00:01<00:03, 4.67it/s] 30%|███ | 6/20 [00:01<00:02, 6.29it/s] 40%|████ | 8/20 [00:01<00:01, 7.42it/s] 50%|█████ | 10/20 [00:01<00:01, 8.18it/s] 60%|██████ | 12/20 [00:01<00:00, 8.69it/s] 70%|███████ | 14/20 [00:02<00:00, 9.12it/s] 80%|████████ | 16/20 [00:02<00:00, 9.46it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.68it/s] 100%|██████████| 20/20 [00:02<00:00, 9.76it/s] 100%|██████████| 20/20 [00:02<00:00, 7.33it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.45it/s] 40%|████ | 2/5 [00:00<00:01, 2.69it/s] 60%|██████ | 3/5 [00:00<00:00, 3.70it/s] 80%|████████ | 4/5 [00:01<00:00, 4.49it/s] 100%|██████████| 5/5 [00:01<00:00, 5.09it/s] 100%|██████████| 5/5 [00:01<00:00, 3.88it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.59it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.91it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.92it/s] 100%|██████████| 7/7 [00:00<00:00, 10.56it/s] 100%|██████████| 7/7 [00:00<00:00, 7.38it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcID7vmgeyf3kfecnivuqbh3gkzfteStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- heavy-set plus-size african man wearing white casual clothing and a beach hat
- body_type
- masculine
- negative_prompt
- handbag
{ "prompt": "heavy-set plus-size african man wearing white casual clothing and a beach hat", "body_type": "masculine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "heavy-set plus-size african man wearing white casual clothing and a beach hat", body_type: "masculine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "heavy-set plus-size african man wearing white casual clothing and a beach hat", "body_type": "masculine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "heavy-set plus-size african man wearing white casual clothing and a beach hat", "body_type": "masculine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="heavy-set plus-size african man wearing white casual clothing and a beach hat"' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "heavy-set plus-size african man wearing white casual clothing and a beach hat", "body_type": "masculine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-08T12:00:27.457422Z", "created_at": "2023-05-08T12:00:18.337757Z", "data_removed": false, "error": null, "id": "7vmgeyf3kfecnivuqbh3gkzfte", "input": { "prompt": "heavy-set plus-size african man wearing white casual clothing and a beach hat", "body_type": "masculine", "negative_prompt": "handbag" }, "logs": "Using seed: 18840\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:16, 1.15it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.31it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.47it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.59it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.56it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.31it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 6.64it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.24it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.73it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.18it/s]\n 55%|█████▌ | 11/20 [00:02<00:01, 8.44it/s]\n 60%|██████ | 12/20 [00:02<00:00, 8.78it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 8.90it/s]\n 70%|███████ | 14/20 [00:02<00:00, 8.99it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.49it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.61it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.62it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.61it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.46it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.75it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.46it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.68it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.65it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.40it/s]\n100%|██████████| 5/5 [00:01<00:00, 4.97it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.82it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.59it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.68it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.31it/s]\n100%|██████████| 7/7 [00:01<00:00, 9.11it/s]\n100%|██████████| 7/7 [00:01<00:00, 6.73it/s]", "metrics": { "predict_time": 9.073556, "total_time": 9.119665 }, "output": [ "https://replicate.delivery/pbxt/WsiVZMzdeoSBRqt9qZVl8Ct2fmdC6PDcDYkbWrZF0yf1ySzhA/out-0.png" ], "started_at": "2023-05-08T12:00:18.383866Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7vmgeyf3kfecnivuqbh3gkzfte", "cancel": "https://api.replicate.com/v1/predictions/7vmgeyf3kfecnivuqbh3gkzfte/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 18840 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.15it/s] 10%|█ | 2/20 [00:00<00:07, 2.31it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.47it/s] 20%|██ | 4/20 [00:01<00:03, 4.59it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.56it/s] 30%|███ | 6/20 [00:01<00:02, 6.31it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.64it/s] 40%|████ | 8/20 [00:01<00:01, 7.24it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.73it/s] 50%|█████ | 10/20 [00:01<00:01, 8.18it/s] 55%|█████▌ | 11/20 [00:02<00:01, 8.44it/s] 60%|██████ | 12/20 [00:02<00:00, 8.78it/s] 65%|██████▌ | 13/20 [00:02<00:00, 8.90it/s] 70%|███████ | 14/20 [00:02<00:00, 8.99it/s] 80%|████████ | 16/20 [00:02<00:00, 9.49it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.61it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.62it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.61it/s] 100%|██████████| 20/20 [00:02<00:00, 9.46it/s] 100%|██████████| 20/20 [00:02<00:00, 6.75it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.46it/s] 40%|████ | 2/5 [00:00<00:01, 2.68it/s] 60%|██████ | 3/5 [00:00<00:00, 3.65it/s] 80%|████████ | 4/5 [00:01<00:00, 4.40it/s] 100%|██████████| 5/5 [00:01<00:00, 4.97it/s] 100%|██████████| 5/5 [00:01<00:00, 3.82it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.59it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.68it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.31it/s] 100%|██████████| 7/7 [00:01<00:00, 9.11it/s] 100%|██████████| 7/7 [00:01<00:00, 6.73it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDjj4uamk2lvfwjffufbcwywjqj4StatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- school girl, ginger hair, tropical background, in Ghibli studio style
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "school girl, ginger hair, tropical background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "school girl, ginger hair, tropical background, in Ghibli studio style", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "school girl, ginger hair, tropical background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "school girl, ginger hair, tropical background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="school girl, ginger hair, tropical background, in Ghibli studio style"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "school girl, ginger hair, tropical background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-08T14:12:20.241237Z", "created_at": "2023-05-08T14:12:09.855807Z", "data_removed": false, "error": null, "id": "jj4uamk2lvfwjffufbcwywjqj4", "input": { "prompt": "school girl, ginger hair, tropical background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 41820\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.26it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.56it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.84it/s]\n 20%|██ | 4/20 [00:01<00:03, 5.06it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 6.14it/s]\n 30%|███ | 6/20 [00:01<00:01, 7.03it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.77it/s]\n 40%|████ | 8/20 [00:01<00:01, 8.35it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.74it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.81it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.79it/s]\n 60%|██████ | 12/20 [00:01<00:00, 8.74it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.00it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.24it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.42it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.11it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 8.62it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 8.63it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.71it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.52it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.98it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.51it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.75it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.71it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.48it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.01it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.89it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.77it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.14it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.73it/s]\n100%|██████████| 7/7 [00:00<00:00, 9.90it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.33it/s]", "metrics": { "predict_time": 10.333504, "total_time": 10.38543 }, "output": [ "https://replicate.delivery/pbxt/eWOV319ufylxoU5CHcu76TzdvyC3fE9EePpZPKIeI4gfQ1aOE/output.png" ], "started_at": "2023-05-08T14:12:09.907733Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/jj4uamk2lvfwjffufbcwywjqj4", "cancel": "https://api.replicate.com/v1/predictions/jj4uamk2lvfwjffufbcwywjqj4/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 41820 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.26it/s] 10%|█ | 2/20 [00:00<00:07, 2.56it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.84it/s] 20%|██ | 4/20 [00:01<00:03, 5.06it/s] 25%|██▌ | 5/20 [00:01<00:02, 6.14it/s] 30%|███ | 6/20 [00:01<00:01, 7.03it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.77it/s] 40%|████ | 8/20 [00:01<00:01, 8.35it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.74it/s] 50%|█████ | 10/20 [00:01<00:01, 8.81it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.79it/s] 60%|██████ | 12/20 [00:01<00:00, 8.74it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.00it/s] 70%|███████ | 14/20 [00:02<00:00, 9.24it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.42it/s] 80%|████████ | 16/20 [00:02<00:00, 9.11it/s] 85%|████████▌ | 17/20 [00:02<00:00, 8.62it/s] 90%|█████████ | 18/20 [00:02<00:00, 8.63it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.71it/s] 100%|██████████| 20/20 [00:02<00:00, 8.52it/s] 100%|██████████| 20/20 [00:02<00:00, 6.98it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.51it/s] 40%|████ | 2/5 [00:00<00:01, 2.75it/s] 60%|██████ | 3/5 [00:00<00:00, 3.71it/s] 80%|████████ | 4/5 [00:01<00:00, 4.48it/s] 100%|██████████| 5/5 [00:01<00:00, 5.01it/s] 100%|██████████| 5/5 [00:01<00:00, 3.89it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.77it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.14it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.73it/s] 100%|██████████| 7/7 [00:00<00:00, 9.90it/s] 100%|██████████| 7/7 [00:00<00:00, 7.33it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDr6vvqohcm5gjdojffmtvjgttdiStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- Tekken7 main hero
- body_type
- masculine
- negative_prompt
- handbag
{ "prompt": "Tekken7 main hero", "body_type": "masculine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "Tekken7 main hero", body_type: "masculine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "Tekken7 main hero", "body_type": "masculine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "Tekken7 main hero", "body_type": "masculine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="Tekken7 main hero"' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Tekken7 main hero", "body_type": "masculine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-08T14:24:03.241788Z", "created_at": "2023-05-08T14:23:53.586850Z", "data_removed": false, "error": null, "id": "r6vvqohcm5gjdojffmtvjgttdi", "input": { "prompt": "Tekken7 main hero", "body_type": "masculine", "negative_prompt": "handbag" }, "logs": "Using seed: 23270\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:16, 1.18it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.37it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.54it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.75it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.84it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.41it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.33it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.66it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.95it/s]\n 60%|██████ | 12/20 [00:01<00:00, 9.19it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.21it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.42it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.55it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.67it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.75it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.38it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.97it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.74it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.99it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.49it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.73it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.73it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.50it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.08it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.91it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.67it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.87it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.33it/s]\n100%|██████████| 7/7 [00:01<00:00, 9.53it/s]\n100%|██████████| 7/7 [00:01<00:00, 6.99it/s]", "metrics": { "predict_time": 9.605831, "total_time": 9.654938 }, "output": [ "https://replicate.delivery/pbxt/jVdbRo8iYIaIA58drYl9P4cneiV6SmeIUx4bXXG8YunCgr5QA/output.png" ], "started_at": "2023-05-08T14:23:53.635957Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/r6vvqohcm5gjdojffmtvjgttdi", "cancel": "https://api.replicate.com/v1/predictions/r6vvqohcm5gjdojffmtvjgttdi/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 23270 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.18it/s] 10%|█ | 2/20 [00:00<00:07, 2.37it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.54it/s] 20%|██ | 4/20 [00:01<00:03, 4.75it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.84it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.41it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.33it/s] 50%|█████ | 10/20 [00:01<00:01, 8.66it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.95it/s] 60%|██████ | 12/20 [00:01<00:00, 9.19it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.21it/s] 70%|███████ | 14/20 [00:02<00:00, 9.42it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.55it/s] 80%|████████ | 16/20 [00:02<00:00, 9.67it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.75it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.38it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.97it/s] 100%|██████████| 20/20 [00:02<00:00, 8.74it/s] 100%|██████████| 20/20 [00:02<00:00, 6.99it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.49it/s] 40%|████ | 2/5 [00:00<00:01, 2.73it/s] 60%|██████ | 3/5 [00:00<00:00, 3.73it/s] 80%|████████ | 4/5 [00:01<00:00, 4.50it/s] 100%|██████████| 5/5 [00:01<00:00, 5.08it/s] 100%|██████████| 5/5 [00:01<00:00, 3.91it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.67it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.87it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.33it/s] 100%|██████████| 7/7 [00:01<00:00, 9.53it/s] 100%|██████████| 7/7 [00:01<00:00, 6.99it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcID62byj56kbbg4dmicoamjqy4al4StatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-07T22:01:15.650245Z", "created_at": "2023-05-07T22:01:04.163961Z", "data_removed": false, "error": null, "id": "62byj56kbbg4dmicoamjqy4al4", "input": { "prompt": "cute witch purple and gold, shiny amulets, wide shoulders, whimsical outfit, a magician from the world of warcraft, elfen leader, fairytale hero, glowing mushroom fantasy forest landscape, dark light night", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 59435\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:16, 1.16it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.37it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.60it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.75it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.79it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.64it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.23it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.93it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.46it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.52it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.60it/s]\n 60%|██████ | 12/20 [00:02<00:00, 8.81it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 8.96it/s]\n 70%|███████ | 14/20 [00:02<00:00, 8.92it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 8.95it/s]\n 80%|████████ | 16/20 [00:02<00:00, 8.97it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 8.95it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.02it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.10it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.97it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.80it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.41it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.61it/s]\n 60%|██████ | 3/5 [00:01<00:00, 3.61it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.39it/s]\n100%|██████████| 5/5 [00:01<00:00, 4.97it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.78it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:04, 1.37it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.14it/s]\n 71%|███████▏ | 5/7 [00:01<00:00, 6.58it/s]\n100%|██████████| 7/7 [00:01<00:00, 8.64it/s]\n100%|██████████| 7/7 [00:01<00:00, 6.15it/s]", "metrics": { "predict_time": 11.433736, "total_time": 11.486284 }, "output": [ "https://replicate.delivery/pbxt/xzRB6GUXFm4tGVQFCAveSvlp3UbQzTZxERMQuYc6J0eqGd5QA/out-0.png" ], "started_at": "2023-05-07T22:01:04.216509Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/62byj56kbbg4dmicoamjqy4al4", "cancel": "https://api.replicate.com/v1/predictions/62byj56kbbg4dmicoamjqy4al4/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 59435 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.16it/s] 10%|█ | 2/20 [00:00<00:07, 2.37it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.60it/s] 20%|██ | 4/20 [00:01<00:03, 4.75it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.79it/s] 30%|███ | 6/20 [00:01<00:02, 6.64it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.23it/s] 40%|████ | 8/20 [00:01<00:01, 7.93it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.46it/s] 50%|█████ | 10/20 [00:01<00:01, 8.52it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.60it/s] 60%|██████ | 12/20 [00:02<00:00, 8.81it/s] 65%|██████▌ | 13/20 [00:02<00:00, 8.96it/s] 70%|███████ | 14/20 [00:02<00:00, 8.92it/s] 75%|███████▌ | 15/20 [00:02<00:00, 8.95it/s] 80%|████████ | 16/20 [00:02<00:00, 8.97it/s] 85%|████████▌ | 17/20 [00:02<00:00, 8.95it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.02it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.10it/s] 100%|██████████| 20/20 [00:02<00:00, 8.97it/s] 100%|██████████| 20/20 [00:02<00:00, 6.80it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.41it/s] 40%|████ | 2/5 [00:00<00:01, 2.61it/s] 60%|██████ | 3/5 [00:01<00:00, 3.61it/s] 80%|████████ | 4/5 [00:01<00:00, 4.39it/s] 100%|██████████| 5/5 [00:01<00:00, 4.97it/s] 100%|██████████| 5/5 [00:01<00:00, 3.78it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:04, 1.37it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.14it/s] 71%|███████▏ | 5/7 [00:01<00:00, 6.58it/s] 100%|██████████| 7/7 [00:01<00:00, 8.64it/s] 100%|██████████| 7/7 [00:01<00:00, 6.15it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDhapcdep3lfbepdqo4oakq5heseStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- rainbow colors, Inspired by games like "Final Fantasy" and "The Legend of Zelda," this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties.
- body_type
- feminine
- negative_prompt
- monochrome color
{ "prompt": "rainbow colors, Inspired by games like \"Final Fantasy\" and \"The Legend of Zelda,\" this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties.", "body_type": "feminine", "negative_prompt": "monochrome color" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "rainbow colors, Inspired by games like \"Final Fantasy\" and \"The Legend of Zelda,\" this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties.", body_type: "feminine", negative_prompt: "monochrome color" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "rainbow colors, Inspired by games like \"Final Fantasy\" and \"The Legend of Zelda,\" this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties.", "body_type": "feminine", "negative_prompt": "monochrome color" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "rainbow colors, Inspired by games like \\"Final Fantasy\\" and \\"The Legend of Zelda,\\" this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties.", "body_type": "feminine", "negative_prompt": "monochrome color" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i $'prompt="rainbow colors, Inspired by games like \\"Final Fantasy\\" and \\"The Legend of Zelda,\\" this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties."' \ -i 'body_type="feminine"' \ -i 'negative_prompt="monochrome color"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "rainbow colors, Inspired by games like \\"Final Fantasy\\" and \\"The Legend of Zelda,\\" this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties.", "body_type": "feminine", "negative_prompt": "monochrome color" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-07T17:12:36.633710Z", "created_at": "2023-05-07T17:12:27.696906Z", "data_removed": false, "error": null, "id": "hapcdep3lfbepdqo4oakq5hese", "input": { "prompt": "rainbow colors, Inspired by games like \"Final Fantasy\" and \"The Legend of Zelda,\" this fantasy outfit features bold, colorful pieces such as a flowing tunic in a bright shade of blue, paired with ornate leggings and knee-high boots. Accessorized with a jeweled belt and statement necklace, this look is perfect for cosplay or costume parties.", "body_type": "feminine", "negative_prompt": "monochrome color" }, "logs": "Using seed: 14\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.23it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.51it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.81it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.97it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 6.06it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.99it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.72it/s]\n 40%|████ | 8/20 [00:01<00:01, 8.19it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.28it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.55it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.72it/s]\n 60%|██████ | 12/20 [00:01<00:00, 8.70it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 8.25it/s]\n 70%|███████ | 14/20 [00:02<00:00, 8.33it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 8.29it/s]\n 80%|████████ | 16/20 [00:02<00:00, 8.28it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 7.97it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 8.23it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.16it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.56it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.75it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.52it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.76it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.76it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.50it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.04it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.92it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.74it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.18it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.89it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.18it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.44it/s]", "metrics": { "predict_time": 8.888729, "total_time": 8.936804 }, "output": [ "https://replicate.delivery/pbxt/seKlqSEGFyTjJiabBwsVS4mrcqComJsESeCyIAXppF4D4Y5QA/out-0.png" ], "started_at": "2023-05-07T17:12:27.744981Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hapcdep3lfbepdqo4oakq5hese", "cancel": "https://api.replicate.com/v1/predictions/hapcdep3lfbepdqo4oakq5hese/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 14 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.23it/s] 10%|█ | 2/20 [00:00<00:07, 2.51it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.81it/s] 20%|██ | 4/20 [00:01<00:03, 4.97it/s] 25%|██▌ | 5/20 [00:01<00:02, 6.06it/s] 30%|███ | 6/20 [00:01<00:02, 6.99it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.72it/s] 40%|████ | 8/20 [00:01<00:01, 8.19it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.28it/s] 50%|█████ | 10/20 [00:01<00:01, 8.55it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.72it/s] 60%|██████ | 12/20 [00:01<00:00, 8.70it/s] 65%|██████▌ | 13/20 [00:02<00:00, 8.25it/s] 70%|███████ | 14/20 [00:02<00:00, 8.33it/s] 75%|███████▌ | 15/20 [00:02<00:00, 8.29it/s] 80%|████████ | 16/20 [00:02<00:00, 8.28it/s] 85%|████████▌ | 17/20 [00:02<00:00, 7.97it/s] 90%|█████████ | 18/20 [00:02<00:00, 8.23it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.16it/s] 100%|██████████| 20/20 [00:02<00:00, 8.56it/s] 100%|██████████| 20/20 [00:02<00:00, 6.75it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.52it/s] 40%|████ | 2/5 [00:00<00:01, 2.76it/s] 60%|██████ | 3/5 [00:00<00:00, 3.76it/s] 80%|████████ | 4/5 [00:01<00:00, 4.50it/s] 100%|██████████| 5/5 [00:01<00:00, 5.04it/s] 100%|██████████| 5/5 [00:01<00:00, 3.92it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.74it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.18it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.89it/s] 100%|██████████| 7/7 [00:00<00:00, 10.18it/s] 100%|██████████| 7/7 [00:00<00:00, 7.44it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDnyev33uurrbmzln6heykokzigiStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- heavy-set plus-size caucasian female wearing white casual clothing and a beach hat
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "heavy-set plus-size caucasian female wearing white casual clothing and a beach hat", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "heavy-set plus-size caucasian female wearing white casual clothing and a beach hat", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "heavy-set plus-size caucasian female wearing white casual clothing and a beach hat", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "heavy-set plus-size caucasian female wearing white casual clothing and a beach hat", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="heavy-set plus-size caucasian female wearing white casual clothing and a beach hat"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "heavy-set plus-size caucasian female wearing white casual clothing and a beach hat", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-08T11:59:52.459433Z", "created_at": "2023-05-08T11:59:42.093340Z", "data_removed": false, "error": null, "id": "nyev33uurrbmzln6heykokzigi", "input": { "prompt": "heavy-set plus-size caucasian female wearing white casual clothing and a beach hat", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 51367\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.19it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.45it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.69it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.85it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.82it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.43it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.97it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.22it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.41it/s]\n 60%|██████ | 12/20 [00:01<00:00, 9.01it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.00it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.24it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.09it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.22it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.27it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.30it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.33it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.01it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.49it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.74it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.73it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.51it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.10it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.92it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.78it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.35it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.43it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.93it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.85it/s]", "metrics": { "predict_time": 10.317764, "total_time": 10.366093 }, "output": [ "https://replicate.delivery/pbxt/tFFIaDiEQFoeBSA99LDw1CFeOnQ3JuRYfTNSS6Sqd9iuxSzhA/out-0.png" ], "started_at": "2023-05-08T11:59:42.141669Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/nyev33uurrbmzln6heykokzigi", "cancel": "https://api.replicate.com/v1/predictions/nyev33uurrbmzln6heykokzigi/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 51367 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.19it/s] 10%|█ | 2/20 [00:00<00:07, 2.45it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.69it/s] 20%|██ | 4/20 [00:01<00:03, 4.85it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.82it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.43it/s] 40%|████ | 8/20 [00:01<00:01, 7.97it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.22it/s] 50%|█████ | 10/20 [00:01<00:01, 8.41it/s] 60%|██████ | 12/20 [00:01<00:00, 9.01it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.00it/s] 70%|███████ | 14/20 [00:02<00:00, 9.24it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.09it/s] 80%|████████ | 16/20 [00:02<00:00, 9.22it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.27it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.30it/s] 100%|██████████| 20/20 [00:02<00:00, 9.33it/s] 100%|██████████| 20/20 [00:02<00:00, 7.01it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.49it/s] 40%|████ | 2/5 [00:00<00:01, 2.74it/s] 60%|██████ | 3/5 [00:00<00:00, 3.73it/s] 80%|████████ | 4/5 [00:01<00:00, 4.51it/s] 100%|██████████| 5/5 [00:01<00:00, 5.10it/s] 100%|██████████| 5/5 [00:01<00:00, 3.92it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.78it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.35it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.43it/s] 100%|██████████| 7/7 [00:00<00:00, 10.93it/s] 100%|██████████| 7/7 [00:00<00:00, 7.85it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcID4wohnu64yvfjdlbn3msuqgeul4StatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- 16th century Spaniards in the pilgrimage cloak
- body_type
- masculine
- negative_prompt
- handbag
{ "prompt": "16th century Spaniards in the pilgrimage cloak", "body_type": "masculine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "16th century Spaniards in the pilgrimage cloak", body_type: "masculine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "16th century Spaniards in the pilgrimage cloak", "body_type": "masculine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "16th century Spaniards in the pilgrimage cloak", "body_type": "masculine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="16th century Spaniards in the pilgrimage cloak"' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "16th century Spaniards in the pilgrimage cloak", "body_type": "masculine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-07T18:14:54.031032Z", "created_at": "2023-05-07T18:12:22.556409Z", "data_removed": false, "error": null, "id": "4wohnu64yvfjdlbn3msuqgeul4", "input": { "prompt": "16th century Spaniards in the pilgrimage cloak", "body_type": "masculine", "negative_prompt": "handbag" }, "logs": "Using seed: 53004\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:02<00:50, 2.63s/it]\n 10%|█ | 2/20 [00:02<00:20, 1.17s/it]\n 15%|█▌ | 3/20 [00:02<00:11, 1.45it/s]\n 20%|██ | 4/20 [00:03<00:07, 2.10it/s]\n 25%|██▌ | 5/20 [00:03<00:05, 2.84it/s]\n 30%|███ | 6/20 [00:03<00:03, 3.65it/s]\n 35%|███▌ | 7/20 [00:03<00:02, 4.45it/s]\n 40%|████ | 8/20 [00:03<00:02, 5.26it/s]\n 45%|████▌ | 9/20 [00:03<00:01, 5.94it/s]\n 50%|█████ | 10/20 [00:03<00:01, 6.53it/s]\n 55%|█████▌ | 11/20 [00:03<00:01, 7.03it/s]\n 60%|██████ | 12/20 [00:04<00:01, 7.02it/s]\n 65%|██████▌ | 13/20 [00:04<00:00, 7.44it/s]\n 70%|███████ | 14/20 [00:04<00:00, 7.79it/s]\n 75%|███████▌ | 15/20 [00:04<00:00, 7.91it/s]\n 80%|████████ | 16/20 [00:04<00:00, 7.99it/s]\n 85%|████████▌ | 17/20 [00:04<00:00, 8.20it/s]\n 90%|█████████ | 18/20 [00:04<00:00, 8.28it/s]\n 95%|█████████▌| 19/20 [00:04<00:00, 8.36it/s]\n100%|██████████| 20/20 [00:05<00:00, 8.01it/s]\n100%|██████████| 20/20 [00:05<00:00, 4.00it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:03, 1.08it/s]\n 40%|████ | 2/5 [00:01<00:01, 2.09it/s]\n 60%|██████ | 3/5 [00:01<00:00, 3.04it/s]\n 80%|████████ | 4/5 [00:01<00:00, 3.86it/s]\n100%|██████████| 5/5 [00:01<00:00, 4.52it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.23it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:05, 1.12it/s]\n 43%|████▎ | 3/7 [00:01<00:01, 3.45it/s]\n 71%|███████▏ | 5/7 [00:01<00:00, 5.70it/s]\n100%|██████████| 7/7 [00:01<00:00, 7.47it/s]\n100%|██████████| 7/7 [00:01<00:00, 5.22it/s]", "metrics": { "predict_time": 15.020346, "total_time": 151.474623 }, "output": [ "https://replicate.delivery/pbxt/yvUBpPF7f6RlOK3h7q2PayurLdPCmb9fE47Je0UnH5B7kzyhA/out-0.png" ], "started_at": "2023-05-07T18:14:39.010686Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4wohnu64yvfjdlbn3msuqgeul4", "cancel": "https://api.replicate.com/v1/predictions/4wohnu64yvfjdlbn3msuqgeul4/cancel" }, "version": "616d68938cbacdbb382dedca6214c4795bb540beba6bc941d8f1cf54c16495d9" }
Generated inUsing seed: 53004 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:50, 2.63s/it] 10%|█ | 2/20 [00:02<00:20, 1.17s/it] 15%|█▌ | 3/20 [00:02<00:11, 1.45it/s] 20%|██ | 4/20 [00:03<00:07, 2.10it/s] 25%|██▌ | 5/20 [00:03<00:05, 2.84it/s] 30%|███ | 6/20 [00:03<00:03, 3.65it/s] 35%|███▌ | 7/20 [00:03<00:02, 4.45it/s] 40%|████ | 8/20 [00:03<00:02, 5.26it/s] 45%|████▌ | 9/20 [00:03<00:01, 5.94it/s] 50%|█████ | 10/20 [00:03<00:01, 6.53it/s] 55%|█████▌ | 11/20 [00:03<00:01, 7.03it/s] 60%|██████ | 12/20 [00:04<00:01, 7.02it/s] 65%|██████▌ | 13/20 [00:04<00:00, 7.44it/s] 70%|███████ | 14/20 [00:04<00:00, 7.79it/s] 75%|███████▌ | 15/20 [00:04<00:00, 7.91it/s] 80%|████████ | 16/20 [00:04<00:00, 7.99it/s] 85%|████████▌ | 17/20 [00:04<00:00, 8.20it/s] 90%|█████████ | 18/20 [00:04<00:00, 8.28it/s] 95%|█████████▌| 19/20 [00:04<00:00, 8.36it/s] 100%|██████████| 20/20 [00:05<00:00, 8.01it/s] 100%|██████████| 20/20 [00:05<00:00, 4.00it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.08it/s] 40%|████ | 2/5 [00:01<00:01, 2.09it/s] 60%|██████ | 3/5 [00:01<00:00, 3.04it/s] 80%|████████ | 4/5 [00:01<00:00, 3.86it/s] 100%|██████████| 5/5 [00:01<00:00, 4.52it/s] 100%|██████████| 5/5 [00:01<00:00, 3.23it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.12it/s] 43%|████▎ | 3/7 [00:01<00:01, 3.45it/s] 71%|███████▏ | 5/7 [00:01<00:00, 5.70it/s] 100%|██████████| 7/7 [00:01<00:00, 7.47it/s] 100%|██████████| 7/7 [00:01<00:00, 5.22it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDycosa77fsrfcfc6bhecjzymftuStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- Hogwarts school girl, ginger hair, castle background, in Ghibli studio style
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "Hogwarts school girl, ginger hair, castle background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "Hogwarts school girl, ginger hair, castle background, in Ghibli studio style", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "Hogwarts school girl, ginger hair, castle background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "Hogwarts school girl, ginger hair, castle background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="Hogwarts school girl, ginger hair, castle background, in Ghibli studio style"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Hogwarts school girl, ginger hair, castle background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-08T14:14:51.477144Z", "created_at": "2023-05-08T14:14:41.660005Z", "data_removed": false, "error": null, "id": "ycosa77fsrfcfc6bhecjzymftu", "input": { "prompt": "Hogwarts school girl, ginger hair, castle background, in Ghibli studio style", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 1241\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.21it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.45it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.62it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.84it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.93it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.87it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.36it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.70it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.99it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.02it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.44it/s]\n 60%|██████ | 12/20 [00:02<00:00, 8.26it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 8.71it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.03it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.09it/s]\n 80%|████████ | 16/20 [00:02<00:00, 8.99it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 8.91it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 8.89it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.84it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.85it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.79it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.49it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.72it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.72it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.51it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.10it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.91it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.76it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.99it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.79it/s]\n100%|██████████| 7/7 [00:00<00:00, 9.64it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.20it/s]", "metrics": { "predict_time": 9.769171, "total_time": 9.817139 }, "output": [ "https://replicate.delivery/pbxt/SJFTJx24CZJBD9D7ZQqXzM8xerz2LhQFQonizfy12GnaXr5QA/output.png" ], "started_at": "2023-05-08T14:14:41.707973Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ycosa77fsrfcfc6bhecjzymftu", "cancel": "https://api.replicate.com/v1/predictions/ycosa77fsrfcfc6bhecjzymftu/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 1241 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.21it/s] 10%|█ | 2/20 [00:00<00:07, 2.45it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.62it/s] 20%|██ | 4/20 [00:01<00:03, 4.84it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.93it/s] 30%|███ | 6/20 [00:01<00:02, 6.87it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.36it/s] 40%|████ | 8/20 [00:01<00:01, 7.70it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.99it/s] 50%|█████ | 10/20 [00:01<00:01, 8.02it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.44it/s] 60%|██████ | 12/20 [00:02<00:00, 8.26it/s] 65%|██████▌ | 13/20 [00:02<00:00, 8.71it/s] 70%|███████ | 14/20 [00:02<00:00, 9.03it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.09it/s] 80%|████████ | 16/20 [00:02<00:00, 8.99it/s] 85%|████████▌ | 17/20 [00:02<00:00, 8.91it/s] 90%|█████████ | 18/20 [00:02<00:00, 8.89it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.84it/s] 100%|██████████| 20/20 [00:02<00:00, 8.85it/s] 100%|██████████| 20/20 [00:02<00:00, 6.79it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.49it/s] 40%|████ | 2/5 [00:00<00:01, 2.72it/s] 60%|██████ | 3/5 [00:00<00:00, 3.72it/s] 80%|████████ | 4/5 [00:01<00:00, 4.51it/s] 100%|██████████| 5/5 [00:01<00:00, 5.10it/s] 100%|██████████| 5/5 [00:01<00:00, 3.91it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.76it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.99it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.79it/s] 100%|██████████| 7/7 [00:00<00:00, 9.64it/s] 100%|██████████| 7/7 [00:00<00:00, 7.20it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDbibtoyladbgiphjguko52px5bmStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- Black Desert main hero
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "Black Desert main hero", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "Black Desert main hero", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "Black Desert main hero", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "Black Desert main hero", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="Black Desert main hero"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Black Desert main hero", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-08T14:25:04.575281Z", "created_at": "2023-05-08T14:24:54.963116Z", "data_removed": false, "error": null, "id": "bibtoyladbgiphjguko52px5bm", "input": { "prompt": "Black Desert main hero", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 39895\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.19it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.44it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.71it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.74it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.66it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.45it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 6.87it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.17it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.40it/s]\n 50%|█████ | 10/20 [00:01<00:01, 7.51it/s]\n 55%|█████▌ | 11/20 [00:02<00:01, 7.72it/s]\n 60%|██████ | 12/20 [00:02<00:01, 7.97it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 8.16it/s]\n 70%|███████ | 14/20 [00:02<00:00, 8.54it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 8.71it/s]\n 80%|████████ | 16/20 [00:02<00:00, 8.76it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 8.64it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 8.87it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.89it/s]\n100%|██████████| 20/20 [00:03<00:00, 9.15it/s]\n100%|██████████| 20/20 [00:03<00:00, 6.61it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.49it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.73it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.70it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.45it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.01it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.87it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.68it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.03it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.75it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.11it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.31it/s]", "metrics": { "predict_time": 9.560969, "total_time": 9.612165 }, "output": [ "https://replicate.delivery/pbxt/UXTKQCuSeOXbXq0UWKjXhfyYYfrgGIppyMXZaeKS6Qe5HcNHC/output.png" ], "started_at": "2023-05-08T14:24:55.014312Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bibtoyladbgiphjguko52px5bm", "cancel": "https://api.replicate.com/v1/predictions/bibtoyladbgiphjguko52px5bm/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 39895 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.19it/s] 10%|█ | 2/20 [00:00<00:07, 2.44it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.71it/s] 20%|██ | 4/20 [00:01<00:03, 4.74it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.66it/s] 30%|███ | 6/20 [00:01<00:02, 6.45it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.87it/s] 40%|████ | 8/20 [00:01<00:01, 7.17it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.40it/s] 50%|█████ | 10/20 [00:01<00:01, 7.51it/s] 55%|█████▌ | 11/20 [00:02<00:01, 7.72it/s] 60%|██████ | 12/20 [00:02<00:01, 7.97it/s] 65%|██████▌ | 13/20 [00:02<00:00, 8.16it/s] 70%|███████ | 14/20 [00:02<00:00, 8.54it/s] 75%|███████▌ | 15/20 [00:02<00:00, 8.71it/s] 80%|████████ | 16/20 [00:02<00:00, 8.76it/s] 85%|████████▌ | 17/20 [00:02<00:00, 8.64it/s] 90%|█████████ | 18/20 [00:02<00:00, 8.87it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.89it/s] 100%|██████████| 20/20 [00:03<00:00, 9.15it/s] 100%|██████████| 20/20 [00:03<00:00, 6.61it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.49it/s] 40%|████ | 2/5 [00:00<00:01, 2.73it/s] 60%|██████ | 3/5 [00:00<00:00, 3.70it/s] 80%|████████ | 4/5 [00:01<00:00, 4.45it/s] 100%|██████████| 5/5 [00:01<00:00, 5.01it/s] 100%|██████████| 5/5 [00:01<00:00, 3.87it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.68it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.03it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.75it/s] 100%|██████████| 7/7 [00:00<00:00, 10.11it/s] 100%|██████████| 7/7 [00:00<00:00, 7.31it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDwxczkb3cdfbyxijccthewz6i34StatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- Cute old Broccoli lady in Ghibli style
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "Cute old Broccoli lady in Ghibli style", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "Cute old Broccoli lady in Ghibli style", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "Cute old Broccoli lady in Ghibli style", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "Cute old Broccoli lady in Ghibli style", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="Cute old Broccoli lady in Ghibli style"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Cute old Broccoli lady in Ghibli style", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-10T15:23:35.521234Z", "created_at": "2023-05-10T15:23:25.238321Z", "data_removed": false, "error": null, "id": "wxczkb3cdfbyxijccthewz6i34", "input": { "prompt": "Cute old Broccoli lady in Ghibli style", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 40749\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.19it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.38it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.56it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.67it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.70it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.63it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.19it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.85it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.24it/s]\n 55%|█████▌ | 11/20 [00:01<00:00, 9.01it/s]\n 60%|██████ | 12/20 [00:02<00:00, 9.17it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.33it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.16it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.04it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.28it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.44it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.17it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.97it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.03it/s]\n100%|██████████| 20/20 [00:02<00:00, 6.88it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.41it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.61it/s]\n 60%|██████ | 3/5 [00:01<00:00, 3.59it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.39it/s]\n100%|██████████| 5/5 [00:01<00:00, 4.99it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.78it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.74it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.26it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.12it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.64it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.66it/s]", "metrics": { "predict_time": 10.304681, "total_time": 10.282913 }, "output": [ "https://replicate.delivery/pbxt/St8Z5IapXsoZGpOwZHekm0K6t9oCHPj8uO1Ke5GTgzo2jW6QA/output.png" ], "started_at": "2023-05-10T15:23:25.216553Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wxczkb3cdfbyxijccthewz6i34", "cancel": "https://api.replicate.com/v1/predictions/wxczkb3cdfbyxijccthewz6i34/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 40749 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.19it/s] 10%|█ | 2/20 [00:00<00:07, 2.38it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.56it/s] 20%|██ | 4/20 [00:01<00:03, 4.67it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.70it/s] 30%|███ | 6/20 [00:01<00:02, 6.63it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.19it/s] 40%|████ | 8/20 [00:01<00:01, 7.85it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.24it/s] 55%|█████▌ | 11/20 [00:01<00:00, 9.01it/s] 60%|██████ | 12/20 [00:02<00:00, 9.17it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.33it/s] 70%|███████ | 14/20 [00:02<00:00, 9.16it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.04it/s] 80%|████████ | 16/20 [00:02<00:00, 9.28it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.44it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.17it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.97it/s] 100%|██████████| 20/20 [00:02<00:00, 9.03it/s] 100%|██████████| 20/20 [00:02<00:00, 6.88it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.41it/s] 40%|████ | 2/5 [00:00<00:01, 2.61it/s] 60%|██████ | 3/5 [00:01<00:00, 3.59it/s] 80%|████████ | 4/5 [00:01<00:00, 4.39it/s] 100%|██████████| 5/5 [00:01<00:00, 4.99it/s] 100%|██████████| 5/5 [00:01<00:00, 3.78it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.74it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.26it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.12it/s] 100%|██████████| 7/7 [00:00<00:00, 10.64it/s] 100%|██████████| 7/7 [00:00<00:00, 7.66it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcID7v2s7gnranf2xlf4ua3yvajfyiStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- kind old wizard in ghibli studio style
- body_type
- masculine
- negative_prompt
- handbag
{ "prompt": "kind old wizard in ghibli studio style", "body_type": "masculine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "kind old wizard in ghibli studio style", body_type: "masculine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "kind old wizard in ghibli studio style", "body_type": "masculine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "kind old wizard in ghibli studio style", "body_type": "masculine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="kind old wizard in ghibli studio style"' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "kind old wizard in ghibli studio style", "body_type": "masculine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-10T19:32:06.409513Z", "created_at": "2023-05-10T19:27:07.648845Z", "data_removed": false, "error": null, "id": "7v2s7gnranf2xlf4ua3yvajfyi", "input": { "prompt": "kind old wizard in ghibli studio style", "body_type": "masculine", "negative_prompt": "handbag" }, "logs": "Using seed: 60555\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:02<00:45, 2.37s/it]\n 10%|█ | 2/20 [00:02<00:18, 1.05s/it]\n 15%|█▌ | 3/20 [00:02<00:10, 1.60it/s]\n 20%|██ | 4/20 [00:02<00:06, 2.36it/s]\n 25%|██▌ | 5/20 [00:02<00:04, 3.25it/s]\n 30%|███ | 6/20 [00:02<00:03, 4.07it/s]\n 35%|███▌ | 7/20 [00:03<00:02, 5.03it/s]\n 40%|████ | 8/20 [00:03<00:02, 5.72it/s]\n 45%|████▌ | 9/20 [00:03<00:01, 6.36it/s]\n 50%|█████ | 10/20 [00:03<00:01, 6.64it/s]\n 55%|█████▌ | 11/20 [00:03<00:01, 7.26it/s]\n 60%|██████ | 12/20 [00:03<00:01, 7.48it/s]\n 65%|██████▌ | 13/20 [00:03<00:00, 8.04it/s]\n 70%|███████ | 14/20 [00:03<00:00, 8.54it/s]\n 80%|████████ | 16/20 [00:04<00:00, 8.93it/s]\n 85%|████████▌ | 17/20 [00:04<00:00, 8.95it/s]\n 90%|█████████ | 18/20 [00:04<00:00, 8.80it/s]\n 95%|█████████▌| 19/20 [00:04<00:00, 8.49it/s]\n100%|██████████| 20/20 [00:04<00:00, 8.51it/s]\n100%|██████████| 20/20 [00:04<00:00, 4.38it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:03, 1.06it/s]\n 40%|████ | 2/5 [00:01<00:01, 2.09it/s]\n 60%|██████ | 3/5 [00:01<00:00, 3.02it/s]\n 80%|████████ | 4/5 [00:01<00:00, 3.83it/s]\n100%|██████████| 5/5 [00:01<00:00, 4.49it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.20it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:05, 1.15it/s]\n 43%|████▎ | 3/7 [00:01<00:01, 3.63it/s]\n 71%|███████▏ | 5/7 [00:01<00:00, 5.92it/s]\n100%|██████████| 7/7 [00:01<00:00, 7.76it/s]\n100%|██████████| 7/7 [00:01<00:00, 5.42it/s]", "metrics": { "predict_time": 15.216174, "total_time": 298.760668 }, "output": [ "https://replicate.delivery/pbxt/2dxOgVFpqMISFVxFcDAIG18grGOPCfip3FQCtTw7nI8aGNdIA/output.png" ], "started_at": "2023-05-10T19:31:51.193339Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7v2s7gnranf2xlf4ua3yvajfyi", "cancel": "https://api.replicate.com/v1/predictions/7v2s7gnranf2xlf4ua3yvajfyi/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 60555 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:45, 2.37s/it] 10%|█ | 2/20 [00:02<00:18, 1.05s/it] 15%|█▌ | 3/20 [00:02<00:10, 1.60it/s] 20%|██ | 4/20 [00:02<00:06, 2.36it/s] 25%|██▌ | 5/20 [00:02<00:04, 3.25it/s] 30%|███ | 6/20 [00:02<00:03, 4.07it/s] 35%|███▌ | 7/20 [00:03<00:02, 5.03it/s] 40%|████ | 8/20 [00:03<00:02, 5.72it/s] 45%|████▌ | 9/20 [00:03<00:01, 6.36it/s] 50%|█████ | 10/20 [00:03<00:01, 6.64it/s] 55%|█████▌ | 11/20 [00:03<00:01, 7.26it/s] 60%|██████ | 12/20 [00:03<00:01, 7.48it/s] 65%|██████▌ | 13/20 [00:03<00:00, 8.04it/s] 70%|███████ | 14/20 [00:03<00:00, 8.54it/s] 80%|████████ | 16/20 [00:04<00:00, 8.93it/s] 85%|████████▌ | 17/20 [00:04<00:00, 8.95it/s] 90%|█████████ | 18/20 [00:04<00:00, 8.80it/s] 95%|█████████▌| 19/20 [00:04<00:00, 8.49it/s] 100%|██████████| 20/20 [00:04<00:00, 8.51it/s] 100%|██████████| 20/20 [00:04<00:00, 4.38it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.06it/s] 40%|████ | 2/5 [00:01<00:01, 2.09it/s] 60%|██████ | 3/5 [00:01<00:00, 3.02it/s] 80%|████████ | 4/5 [00:01<00:00, 3.83it/s] 100%|██████████| 5/5 [00:01<00:00, 4.49it/s] 100%|██████████| 5/5 [00:01<00:00, 3.20it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.15it/s] 43%|████▎ | 3/7 [00:01<00:01, 3.63it/s] 71%|███████▏ | 5/7 [00:01<00:00, 5.92it/s] 100%|██████████| 7/7 [00:01<00:00, 7.76it/s] 100%|██████████| 7/7 [00:01<00:00, 5.42it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDh4xkieri2jgypahnks5qakc6wuStatusSucceededSourceWebHardware–Total durationCreatedInput
- prompt
- Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light.
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light.", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light.", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light.", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light.", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light."' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light.", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-12T07:41:08.821320Z", "created_at": "2023-05-12T07:40:58.227782Z", "data_removed": false, "error": null, "id": "h4xkieri2jgypahnks5qakc6wu", "input": { "prompt": "Adidas + Techwear + Star Wars (jedi knight), harajuku, intricate mecha details, futuristic boots, Sleek, form-fitting black fabric adorned with luminescent silver trim. Flowing cloak drapes over shoulders, concealing advanced exoskeleton. Holographic interface embedded in gauntlet, emitting vibrant blue light.", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 42181\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:16, 1.18it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.39it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.65it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.72it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.11it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.63it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.13it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.80it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.24it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.49it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.53it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.71it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.83it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.23it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.44it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.66it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.66it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.45it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.05it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.85it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.79it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.39it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.41it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.94it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.88it/s]", "metrics": { "predict_time": 10.540855, "total_time": 10.593538 }, "output": [ "https://replicate.delivery/pbxt/wcgcLaKa1HLlAV2zOaefcUgb6GOBSvsXsbQrYjc3ppmUez1hA/output.png" ], "started_at": "2023-05-12T07:40:58.280465Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/h4xkieri2jgypahnks5qakc6wu", "cancel": "https://api.replicate.com/v1/predictions/h4xkieri2jgypahnks5qakc6wu/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 42181 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.18it/s] 10%|█ | 2/20 [00:00<00:07, 2.39it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.65it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.72it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.11it/s] 40%|████ | 8/20 [00:01<00:01, 7.63it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.13it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.80it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.24it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.49it/s] 80%|████████ | 16/20 [00:02<00:00, 9.53it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.71it/s] 100%|██████████| 20/20 [00:02<00:00, 9.83it/s] 100%|██████████| 20/20 [00:02<00:00, 7.23it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.44it/s] 40%|████ | 2/5 [00:00<00:01, 2.66it/s] 60%|██████ | 3/5 [00:00<00:00, 3.66it/s] 80%|████████ | 4/5 [00:01<00:00, 4.45it/s] 100%|██████████| 5/5 [00:01<00:00, 5.05it/s] 100%|██████████| 5/5 [00:01<00:00, 3.85it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.79it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.39it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.41it/s] 100%|██████████| 7/7 [00:00<00:00, 10.94it/s] 100%|██████████| 7/7 [00:00<00:00, 7.88it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDxt2ru3fwrbggpo34wrzlqr4gf4StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- prompt
- God of wisdom, Egypt
- body_type
- masculine
- negative_prompt
- handbag
{ "prompt": "God of wisdom, Egypt", "body_type": "masculine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "God of wisdom, Egypt", body_type: "masculine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "God of wisdom, Egypt", "body_type": "masculine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "God of wisdom, Egypt", "body_type": "masculine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="God of wisdom, Egypt"' \ -i 'body_type="masculine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "God of wisdom, Egypt", "body_type": "masculine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-20T14:22:34.446651Z", "created_at": "2023-05-20T14:22:23.891039Z", "data_removed": false, "error": null, "id": "xt2ru3fwrbggpo34wrzlqr4gf4", "input": { "prompt": "God of wisdom, Egypt", "body_type": "masculine", "negative_prompt": "handbag" }, "logs": "Using seed: 32949\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.19it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.43it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.64it/s]\n 20%|██ | 4/20 [00:01<00:03, 4.85it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.95it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.89it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.67it/s]\n 40%|████ | 8/20 [00:01<00:01, 8.27it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.73it/s]\n 50%|█████ | 10/20 [00:01<00:01, 9.07it/s]\n 55%|█████▌ | 11/20 [00:01<00:00, 9.30it/s]\n 60%|██████ | 12/20 [00:01<00:00, 9.39it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.50it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.65it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.75it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.84it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.87it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.89it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.89it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.20it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.41it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.63it/s]\n 60%|██████ | 3/5 [00:01<00:00, 3.62it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.42it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.03it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.81it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.77it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.32it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.33it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.81it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.78it/s]", "metrics": { "predict_time": 10.58094, "total_time": 10.555612 }, "output": [ "https://replicate.delivery/pbxt/yeMfTTEKeMXvUott3JTWMJbNLywrqHZ0B4uS4IVfqbbkai2DB/output.png" ], "started_at": "2023-05-20T14:22:23.865711Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xt2ru3fwrbggpo34wrzlqr4gf4", "cancel": "https://api.replicate.com/v1/predictions/xt2ru3fwrbggpo34wrzlqr4gf4/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 32949 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.19it/s] 10%|█ | 2/20 [00:00<00:07, 2.43it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.64it/s] 20%|██ | 4/20 [00:01<00:03, 4.85it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.95it/s] 30%|███ | 6/20 [00:01<00:02, 6.89it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.67it/s] 40%|████ | 8/20 [00:01<00:01, 8.27it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.73it/s] 50%|█████ | 10/20 [00:01<00:01, 9.07it/s] 55%|█████▌ | 11/20 [00:01<00:00, 9.30it/s] 60%|██████ | 12/20 [00:01<00:00, 9.39it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.50it/s] 70%|███████ | 14/20 [00:02<00:00, 9.65it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.75it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.84it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.87it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.89it/s] 100%|██████████| 20/20 [00:02<00:00, 9.89it/s] 100%|██████████| 20/20 [00:02<00:00, 7.20it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.41it/s] 40%|████ | 2/5 [00:00<00:01, 2.63it/s] 60%|██████ | 3/5 [00:01<00:00, 3.62it/s] 80%|████████ | 4/5 [00:01<00:00, 4.42it/s] 100%|██████████| 5/5 [00:01<00:00, 5.03it/s] 100%|██████████| 5/5 [00:01<00:00, 3.81it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.77it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.32it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.33it/s] 100%|██████████| 7/7 [00:00<00:00, 10.81it/s] 100%|██████████| 7/7 [00:00<00:00, 7.78it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDijdhhuigfbfnbejuaw6nmqeqgeStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- prompt
- asian Research Engineer wearing labcoat, detailed face
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "asian Research Engineer wearing labcoat, detailed face", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "asian Research Engineer wearing labcoat, detailed face", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "asian Research Engineer wearing labcoat, detailed face", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "asian Research Engineer wearing labcoat, detailed face", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="asian Research Engineer wearing labcoat, detailed face"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "asian Research Engineer wearing labcoat, detailed face", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-20T14:31:31.587207Z", "created_at": "2023-05-20T14:31:22.705723Z", "data_removed": false, "error": null, "id": "ijdhhuigfbfnbejuaw6nmqeqge", "input": { "prompt": "asian Research Engineer wearing labcoat, detailed face", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 37396\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.26it/s]\n 10%|█ | 2/20 [00:00<00:07, 2.55it/s]\n 15%|█▌ | 3/20 [00:01<00:04, 3.86it/s]\n 20%|██ | 4/20 [00:01<00:03, 5.09it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 6.16it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.59it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.45it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.77it/s]\n 55%|█████▌ | 11/20 [00:01<00:00, 9.04it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.40it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.61it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.68it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.83it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.91it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.38it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.57it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.85it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.85it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.62it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.19it/s]\n100%|██████████| 5/5 [00:01<00:00, 4.03it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.84it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.49it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.47it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.87it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.93it/s]", "metrics": { "predict_time": 8.902584, "total_time": 8.881484 }, "output": [ "https://replicate.delivery/pbxt/mWJPpezuii0PfErdbXbVDQh2CeqS1LLUV9cP3MEvbMwFei2DB/output.png" ], "started_at": "2023-05-20T14:31:22.684623Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ijdhhuigfbfnbejuaw6nmqeqge", "cancel": "https://api.replicate.com/v1/predictions/ijdhhuigfbfnbejuaw6nmqeqge/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 37396 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.26it/s] 10%|█ | 2/20 [00:00<00:07, 2.55it/s] 15%|█▌ | 3/20 [00:01<00:04, 3.86it/s] 20%|██ | 4/20 [00:01<00:03, 5.09it/s] 25%|██▌ | 5/20 [00:01<00:02, 6.16it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.59it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.45it/s] 50%|█████ | 10/20 [00:01<00:01, 8.77it/s] 55%|█████▌ | 11/20 [00:01<00:00, 9.04it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.40it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.61it/s] 80%|████████ | 16/20 [00:02<00:00, 9.68it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.83it/s] 100%|██████████| 20/20 [00:02<00:00, 9.91it/s] 100%|██████████| 20/20 [00:02<00:00, 7.38it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.57it/s] 40%|████ | 2/5 [00:00<00:01, 2.85it/s] 60%|██████ | 3/5 [00:00<00:00, 3.85it/s] 80%|████████ | 4/5 [00:01<00:00, 4.62it/s] 100%|██████████| 5/5 [00:01<00:00, 5.19it/s] 100%|██████████| 5/5 [00:01<00:00, 4.03it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.84it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.49it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.47it/s] 100%|██████████| 7/7 [00:00<00:00, 10.87it/s] 100%|██████████| 7/7 [00:00<00:00, 7.93it/s]
Prediction
fogside/rpm_characters_concepts:146f3bdcIDgh7ivcvle5ehhntytcgc2mpdvyStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- prompt
- Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair
- body_type
- feminine
- negative_prompt
- handbag
{ "prompt": "Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair", "body_type": "feminine", "negative_prompt": "handbag" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", { input: { prompt: "Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair", body_type: "feminine", negative_prompt: "handbag" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fogside/rpm_characters_concepts:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", input={ "prompt": "Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair", "body_type": "feminine", "negative_prompt": "handbag" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fogside/rpm_characters_concepts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d", "input": { "prompt": "Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair", "body_type": "feminine", "negative_prompt": "handbag" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fogside/rpm_characters_concepts using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d \ -i 'prompt="Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair"' \ -i 'body_type="feminine"' \ -i 'negative_prompt="handbag"'
To learn more, take a look at the Cog documentation.
Pull and run fogside/rpm_characters_concepts using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fogside/rpm_characters_concepts@sha256:146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair", "body_type": "feminine", "negative_prompt": "handbag" } }' \ http://localhost:5000/predictions
Output
{ "completed_at": "2023-05-20T14:54:06.805119Z", "created_at": "2023-05-20T14:53:57.349683Z", "data_removed": false, "error": null, "id": "gh7ivcvle5ehhntytcgc2mpdvy", "input": { "prompt": "Research Engineer, wearing labcoat, detailed face, cosmonaut suit, vibrant ((orange)) color, mecha elements, tech, short green hair", "body_type": "feminine", "negative_prompt": "handbag" }, "logs": "Using seed: 47079\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:15, 1.26it/s]\n 10%|█ | 2/20 [00:00<00:06, 2.58it/s]\n 15%|█▌ | 3/20 [00:00<00:04, 3.89it/s]\n 20%|██ | 4/20 [00:01<00:03, 5.11it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 6.17it/s]\n 30%|███ | 6/20 [00:01<00:01, 7.02it/s]\n 35%|███▌ | 7/20 [00:01<00:01, 7.75it/s]\n 40%|████ | 8/20 [00:01<00:01, 8.32it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.73it/s]\n 50%|█████ | 10/20 [00:01<00:01, 9.05it/s]\n 55%|█████▌ | 11/20 [00:01<00:00, 9.30it/s]\n 60%|██████ | 12/20 [00:01<00:00, 9.41it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 9.52it/s]\n 70%|███████ | 14/20 [00:02<00:00, 9.60it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 9.68it/s]\n 80%|████████ | 16/20 [00:02<00:00, 9.61it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 9.69it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 9.49it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 9.57it/s]\n100%|██████████| 20/20 [00:02<00:00, 9.59it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.28it/s]\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:02, 1.50it/s]\n 40%|████ | 2/5 [00:00<00:01, 2.76it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.75it/s]\n 80%|████████ | 4/5 [00:01<00:00, 4.53it/s]\n100%|██████████| 5/5 [00:01<00:00, 5.11it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.94it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:03, 1.78it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 5.25it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 8.18it/s]\n100%|██████████| 7/7 [00:00<00:00, 10.50it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.64it/s]", "metrics": { "predict_time": 9.479629, "total_time": 9.455436 }, "output": [ "https://replicate.delivery/pbxt/ifBm9SfEdFnNHUGesfyVNsV9XBb9Ae0bPKQd3Wvsyv02hItHC/output.png" ], "started_at": "2023-05-20T14:53:57.325490Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gh7ivcvle5ehhntytcgc2mpdvy", "cancel": "https://api.replicate.com/v1/predictions/gh7ivcvle5ehhntytcgc2mpdvy/cancel" }, "version": "146f3bdcb8cc985c67b5b27e000ac6fff6951e3f9165fdfd48925d0c8636aa2d" }
Generated inUsing seed: 47079 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:15, 1.26it/s] 10%|█ | 2/20 [00:00<00:06, 2.58it/s] 15%|█▌ | 3/20 [00:00<00:04, 3.89it/s] 20%|██ | 4/20 [00:01<00:03, 5.11it/s] 25%|██▌ | 5/20 [00:01<00:02, 6.17it/s] 30%|███ | 6/20 [00:01<00:01, 7.02it/s] 35%|███▌ | 7/20 [00:01<00:01, 7.75it/s] 40%|████ | 8/20 [00:01<00:01, 8.32it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.73it/s] 50%|█████ | 10/20 [00:01<00:01, 9.05it/s] 55%|█████▌ | 11/20 [00:01<00:00, 9.30it/s] 60%|██████ | 12/20 [00:01<00:00, 9.41it/s] 65%|██████▌ | 13/20 [00:02<00:00, 9.52it/s] 70%|███████ | 14/20 [00:02<00:00, 9.60it/s] 75%|███████▌ | 15/20 [00:02<00:00, 9.68it/s] 80%|████████ | 16/20 [00:02<00:00, 9.61it/s] 85%|████████▌ | 17/20 [00:02<00:00, 9.69it/s] 90%|█████████ | 18/20 [00:02<00:00, 9.49it/s] 95%|█████████▌| 19/20 [00:02<00:00, 9.57it/s] 100%|██████████| 20/20 [00:02<00:00, 9.59it/s] 100%|██████████| 20/20 [00:02<00:00, 7.28it/s] 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.50it/s] 40%|████ | 2/5 [00:00<00:01, 2.76it/s] 60%|██████ | 3/5 [00:00<00:00, 3.75it/s] 80%|████████ | 4/5 [00:01<00:00, 4.53it/s] 100%|██████████| 5/5 [00:01<00:00, 5.11it/s] 100%|██████████| 5/5 [00:01<00:00, 3.94it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.78it/s] 43%|████▎ | 3/7 [00:00<00:00, 5.25it/s] 71%|███████▏ | 5/7 [00:00<00:00, 8.18it/s] 100%|██████████| 7/7 [00:00<00:00, 10.50it/s] 100%|██████████| 7/7 [00:00<00:00, 7.64it/s]
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