jarvis-labs2024
/
flux-appleseed
- Public
- 117 runs
-
H100
Prediction
jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edecIDjrt754j4s5rm20cheey85b4dymStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- "A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "\"A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", { input: { model: "dev", prompt: "\"A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", input={ "model": "dev", "prompt": "\"A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run jarvis-labs2024/flux-appleseed 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": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", "input": { "model": "dev", "prompt": "\\"A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-21T07:00:22.692135Z", "created_at": "2024-08-21T07:00:03.913000Z", "data_removed": false, "error": null, "id": "jrt754j4s5rm20cheey85b4dym", "input": { "model": "dev", "prompt": "\"A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 50890\nPrompt: \"A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9367672999936\nDownloading weights\n2024-08-21T07:00:04Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/c3e899d2e5b3ee2e url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar\n2024-08-21T07:00:05Z | INFO | [ Complete ] dest=/src/weights-cache/c3e899d2e5b3ee2e size=\"172 MB\" total_elapsed=1.410s url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar\nb''\nDownloaded weights in 1.435481309890747 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.68it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.93it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.82it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.66it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.66it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.66it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.65it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.66it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.65it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.65it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.64it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.65it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]", "metrics": { "predict_time": 18.717742276, "total_time": 18.779135 }, "output": [ "https://replicate.delivery/yhqm/CacZWD7uNnaENFziBdqZmf9ktehs39SxysEEmxKhexeboQTNB/out-0.webp" ], "started_at": "2024-08-21T07:00:03.974392Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/jrt754j4s5rm20cheey85b4dym", "cancel": "https://api.replicate.com/v1/predictions/jrt754j4s5rm20cheey85b4dym/cancel" }, "version": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec" }Generated inUsing seed: 50890 Prompt: "A dynamic scene from the Appleseed manga featuring two characters in a futuristic setting. The character on the left is a female warrior in a sleek blue suit wielding a weapon while the character on the right is a male in a purple and black outfit with a robotic arm. They are standing on a platform with a green and yellow background suggesting a high-tech environment txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9367672999936 Downloading weights 2024-08-21T07:00:04Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/c3e899d2e5b3ee2e url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar 2024-08-21T07:00:05Z | INFO | [ Complete ] dest=/src/weights-cache/c3e899d2e5b3ee2e size="172 MB" total_elapsed=1.410s url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar b'' Downloaded weights in 1.435481309890747 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.68it/s] 7%|▋ | 2/28 [00:00<00:06, 4.22it/s] 11%|█ | 3/28 [00:00<00:06, 3.93it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.82it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.66it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s] 50%|█████ | 14/28 [00:03<00:03, 3.66it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.66it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.65it/s] 61%|██████ | 17/28 [00:04<00:03, 3.66it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.65it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.65it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.64it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.65it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s]Prediction
jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edecIDevss7jpt3hrm20chef3vqfptw4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", { input: { model: "dev", prompt: "A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED ", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", input={ "model": "dev", "prompt": "A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run jarvis-labs2024/flux-appleseed 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": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", "input": { "model": "dev", "prompt": "A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-21T07:13:03.807406Z", "created_at": "2024-08-21T07:12:43.036000Z", "data_removed": false, "error": null, "id": "evss7jpt3hrm20chef3vqfptw4", "input": { "model": "dev", "prompt": "A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 18506\nPrompt: A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.67it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.24it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.97it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.85it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.79it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.75it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.71it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.69it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.68it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.68it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.68it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.71it/s]", "metrics": { "predict_time": 16.937801974, "total_time": 20.771406 }, "output": [ "https://replicate.delivery/yhqm/nuxBCIttg65wD1uePz0jvIHr8tz8txxtlOt2MMdTL1lfV0UTA/out-0.webp" ], "started_at": "2024-08-21T07:12:46.869604Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/evss7jpt3hrm20chef3vqfptw4", "cancel": "https://api.replicate.com/v1/predictions/evss7jpt3hrm20chef3vqfptw4/cancel" }, "version": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec" }Generated inUsing seed: 18506 Prompt: A dynamic scene of a girl is chilling on a couch, futuristic living room, Illustration in the style of APPLESEED txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.67it/s] 7%|▋ | 2/28 [00:00<00:06, 4.24it/s] 11%|█ | 3/28 [00:00<00:06, 3.97it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.85it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.79it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.75it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.71it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s] 50%|█████ | 14/28 [00:03<00:03, 3.69it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/s] 61%|██████ | 17/28 [00:04<00:02, 3.68it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.68it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.68it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.71it/s]Prediction
jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edecID9abh9btb81rm40chef7v15httrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED ,
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED , ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", { input: { model: "dev", prompt: "A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED , ", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", input={ "model": "dev", "prompt": "A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED , ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run jarvis-labs2024/flux-appleseed 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": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", "input": { "model": "dev", "prompt": "A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED , ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-21T07:21:27.833166Z", "created_at": "2024-08-21T07:20:50.752000Z", "data_removed": false, "error": null, "id": "9abh9btb81rm40chef7v15httr", "input": { "model": "dev", "prompt": "A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED , ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 5178\nPrompt: A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED ,\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:27, 1.00s/it]\n 7%|▋ | 2/28 [00:01<00:22, 1.14it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.07it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.04it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.02it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.01it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.00it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.00it/s]\n 36%|███▌ | 10/28 [00:09<00:18, 1.00s/it]\n 39%|███▉ | 11/28 [00:10<00:17, 1.00s/it]\n 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it]\n 50%|█████ | 14/28 [00:13<00:14, 1.00s/it]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it]\n 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it]\n 61%|██████ | 17/28 [00:16<00:11, 1.00s/it]\n 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it]\n 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it]\n 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it]\n 75%|███████▌ | 21/28 [00:20<00:07, 1.01s/it]\n 79%|███████▊ | 22/28 [00:21<00:06, 1.01s/it]\n 82%|████████▏ | 23/28 [00:22<00:05, 1.01s/it]\n 86%|████████▌ | 24/28 [00:23<00:04, 1.01s/it]\n 89%|████████▉ | 25/28 [00:24<00:03, 1.01s/it]\n 93%|█████████▎| 26/28 [00:25<00:02, 1.01s/it]\n 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.01s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00it/s]", "metrics": { "predict_time": 37.05563025, "total_time": 37.081166 }, "output": [ "https://replicate.delivery/yhqm/rFfDpfbQkjjQyUdh0qUPKeaCP0cgbHHgI0PLtrfBvSTc3RTNB/out-0.webp", "https://replicate.delivery/yhqm/DJK2587iOXIgH5hIvlqWeUtI8zirn2YbTQvbtWUIegy3d0UTA/out-1.webp", "https://replicate.delivery/yhqm/QGydHR4VXko4AZjoTWOW84WrZFomT91QPNVpR4olaL4dHN1E/out-2.webp", "https://replicate.delivery/yhqm/jjR0hr4KecSwJqeKfUDGUtbUOes7lzrLrQJLkU90wyVc3RTNB/out-3.webp" ], "started_at": "2024-08-21T07:20:50.777536Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/9abh9btb81rm40chef7v15httr", "cancel": "https://api.replicate.com/v1/predictions/9abh9btb81rm40chef7v15httr/cancel" }, "version": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec" }Generated inUsing seed: 5178 Prompt: A dynamic scene of a girl back to back with a robot, both holding guns, simple background , Illustration in the style of APPLESEED , txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.00s/it] 7%|▋ | 2/28 [00:01<00:22, 1.14it/s] 11%|█ | 3/28 [00:02<00:23, 1.07it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.04it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.02it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.01it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.00it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.00it/s] 36%|███▌ | 10/28 [00:09<00:18, 1.00s/it] 39%|███▉ | 11/28 [00:10<00:17, 1.00s/it] 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it] 50%|█████ | 14/28 [00:13<00:14, 1.00s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it] 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it] 61%|██████ | 17/28 [00:16<00:11, 1.00s/it] 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it] 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it] 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it] 75%|███████▌ | 21/28 [00:20<00:07, 1.01s/it] 79%|███████▊ | 22/28 [00:21<00:06, 1.01s/it] 82%|████████▏ | 23/28 [00:22<00:05, 1.01s/it] 86%|████████▌ | 24/28 [00:23<00:04, 1.01s/it] 89%|████████▉ | 25/28 [00:24<00:03, 1.01s/it] 93%|█████████▎| 26/28 [00:25<00:02, 1.01s/it] 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.01s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00it/s]Prediction
jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edecIDhve4acv9r1rm20chef9v13sey0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- seed
- 42
- model
- dev
- prompt
- face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "seed": 42, "model": "dev", "prompt": "face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", { input: { seed: 42, model: "dev", prompt: "face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED ", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", input={ "seed": 42, "model": "dev", "prompt": "face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run jarvis-labs2024/flux-appleseed 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": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", "input": { "seed": 42, "model": "dev", "prompt": "face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-21T07:26:03.188572Z", "created_at": "2024-08-21T07:25:20.704000Z", "data_removed": false, "error": null, "id": "hve4acv9r1rm20chef9v13sey0", "input": { "seed": 42, "model": "dev", "prompt": "face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED ", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 42\nPrompt: face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:27, 1.01s/it]\n 7%|▋ | 2/28 [00:01<00:22, 1.13it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.06it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.00it/s]\n 25%|██▌ | 7/28 [00:06<00:21, 1.00s/it]\n 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it]\n 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it]\n 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it]\n 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it]\n 43%|████▎ | 12/28 [00:11<00:16, 1.02s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.02s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.02s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.02s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.02s/it]\n 79%|███████▊ | 22/28 [00:22<00:06, 1.02s/it]\n 82%|████████▏ | 23/28 [00:23<00:05, 1.02s/it]\n 86%|████████▌ | 24/28 [00:24<00:04, 1.02s/it]\n 89%|████████▉ | 25/28 [00:25<00:03, 1.02s/it]\n 93%|█████████▎| 26/28 [00:26<00:02, 1.02s/it]\n 96%|█████████▋| 27/28 [00:27<00:01, 1.02s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.02s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.01s/it]", "metrics": { "predict_time": 38.802082444, "total_time": 42.484572 }, "output": [ "https://replicate.delivery/yhqm/rlZgeGrInv1QQqlEUTgkZU1W9eGjS8KTz4ahnb1fZFoVEppmA/out-0.webp", "https://replicate.delivery/yhqm/JwKbi62N8YJwERf3yoQfcuFC11B0xPUNLJ4ckfBTXqMUEppmA/out-1.webp", "https://replicate.delivery/yhqm/jfJzCLJ4C3wlZygOfRLvnlekFw0SVLiuuia64ywqMJvWEppmA/out-2.webp", "https://replicate.delivery/yhqm/fIVf71yHHUid90RsbZXI1QhEcya1TAiQIGeAJ80CZB8WEppmA/out-3.webp" ], "started_at": "2024-08-21T07:25:24.386490Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hve4acv9r1rm20chef9v13sey0", "cancel": "https://api.replicate.com/v1/predictions/hve4acv9r1rm20chef9v13sey0/cancel" }, "version": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec" }Generated inUsing seed: 42 Prompt: face focus, cute, 1girl, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck , Illustration in the style of APPLESEED txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.01s/it] 7%|▋ | 2/28 [00:01<00:22, 1.13it/s] 11%|█ | 3/28 [00:02<00:23, 1.06it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.00it/s] 25%|██▌ | 7/28 [00:06<00:21, 1.00s/it] 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it] 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it] 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it] 43%|████▎ | 12/28 [00:11<00:16, 1.02s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.02s/it] 50%|█████ | 14/28 [00:14<00:14, 1.02s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it] 61%|██████ | 17/28 [00:17<00:11, 1.02s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.02s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.02s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.02s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.02s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.02s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.02s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.02s/it] 100%|██████████| 28/28 [00:28<00:00, 1.02s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it]Prediction
jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edecIDjwrs9da2h5rj60cj7f79267h68StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- model
- dev
- prompt
- a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", { input: { model: "dev", prompt: "a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun jarvis-labs2024/flux-appleseed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jarvis-labs2024/flux-appleseed:0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", input={ "model": "dev", "prompt": "a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run jarvis-labs2024/flux-appleseed 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": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec", "input": { "model": "dev", "prompt": "a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-29T03:24:32.194590Z", "created_at": "2024-09-29T03:23:46.185000Z", "data_removed": false, "error": null, "id": "jwrs9da2h5rj60cj7f79267h68", "input": { "model": "dev", "prompt": "a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 8107\nPrompt: a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED\n[!] txt2img mode\nUsing dev model\nfree=4311250100224\nDownloading weights\n2024-09-29T03:24:10Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3usijkzo/weights url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar\n2024-09-29T03:24:12Z | INFO | [ Complete ] dest=/tmp/tmp3usijkzo/weights size=\"172 MB\" total_elapsed=1.413s url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar\nDownloaded weights in 1.45s\nLoaded LoRAs in 2.19s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:22, 1.20it/s]\n 7%|▋ | 2/28 [00:01<00:16, 1.54it/s]\n 11%|█ | 3/28 [00:01<00:16, 1.55it/s]\n 14%|█▍ | 4/28 [00:02<00:15, 1.55it/s]\n 18%|█▊ | 5/28 [00:03<00:14, 1.55it/s]\n 21%|██▏ | 6/28 [00:03<00:14, 1.55it/s]\n 25%|██▌ | 7/28 [00:04<00:13, 1.55it/s]\n 29%|██▊ | 8/28 [00:05<00:12, 1.55it/s]\n 32%|███▏ | 9/28 [00:05<00:12, 1.55it/s]\n 36%|███▌ | 10/28 [00:06<00:11, 1.55it/s]\n 39%|███▉ | 11/28 [00:07<00:10, 1.55it/s]\n 43%|████▎ | 12/28 [00:07<00:10, 1.55it/s]\n 46%|████▋ | 13/28 [00:08<00:09, 1.55it/s]\n 50%|█████ | 14/28 [00:09<00:09, 1.55it/s]\n 54%|█████▎ | 15/28 [00:09<00:08, 1.55it/s]\n 57%|█████▋ | 16/28 [00:10<00:07, 1.55it/s]\n 61%|██████ | 17/28 [00:11<00:07, 1.55it/s]\n 64%|██████▍ | 18/28 [00:11<00:06, 1.55it/s]\n 68%|██████▊ | 19/28 [00:12<00:05, 1.55it/s]\n 71%|███████▏ | 20/28 [00:12<00:05, 1.55it/s]\n 75%|███████▌ | 21/28 [00:13<00:04, 1.55it/s]\n 79%|███████▊ | 22/28 [00:14<00:03, 1.55it/s]\n 82%|████████▏ | 23/28 [00:14<00:03, 1.55it/s]\n 86%|████████▌ | 24/28 [00:15<00:02, 1.55it/s]\n 89%|████████▉ | 25/28 [00:16<00:01, 1.55it/s]\n 93%|█████████▎| 26/28 [00:16<00:01, 1.55it/s]\n 96%|█████████▋| 27/28 [00:17<00:00, 1.55it/s]\n100%|██████████| 28/28 [00:18<00:00, 1.55it/s]\n100%|██████████| 28/28 [00:18<00:00, 1.55it/s]", "metrics": { "predict_time": 21.558591051, "total_time": 46.00959 }, "output": [ "https://replicate.delivery/yhqm/zRUIKjTRb3JbFNP2PamEmQoYxIezMkyegn6593E7HBxwpnhTA/out-0.webp" ], "started_at": "2024-09-29T03:24:10.635999Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/jwrs9da2h5rj60cj7f79267h68", "cancel": "https://api.replicate.com/v1/predictions/jwrs9da2h5rj60cj7f79267h68/cancel" }, "version": "0aecb9fdfb17a2517112cc70b4a1898aa7791da84a010419782ce7043481edec" }Generated inUsing seed: 8107 Prompt: a Asian girl opening a door to pandoras box but its a door way, door opening, standing, crazy lightings coming out of door, retro anime style, high tech cyber punk style, back facing , APPLESEED [!] txt2img mode Using dev model free=4311250100224 Downloading weights 2024-09-29T03:24:10Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3usijkzo/weights url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar 2024-09-29T03:24:12Z | INFO | [ Complete ] dest=/tmp/tmp3usijkzo/weights size="172 MB" total_elapsed=1.413s url=https://replicate.delivery/yhqm/6v6JOdXtArJZEBbsjPoYSC6lezM2Is12eghIoQBhlnWNI0UTA/trained_model.tar Downloaded weights in 1.45s Loaded LoRAs in 2.19s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:22, 1.20it/s] 7%|▋ | 2/28 [00:01<00:16, 1.54it/s] 11%|█ | 3/28 [00:01<00:16, 1.55it/s] 14%|█▍ | 4/28 [00:02<00:15, 1.55it/s] 18%|█▊ | 5/28 [00:03<00:14, 1.55it/s] 21%|██▏ | 6/28 [00:03<00:14, 1.55it/s] 25%|██▌ | 7/28 [00:04<00:13, 1.55it/s] 29%|██▊ | 8/28 [00:05<00:12, 1.55it/s] 32%|███▏ | 9/28 [00:05<00:12, 1.55it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.55it/s] 39%|███▉ | 11/28 [00:07<00:10, 1.55it/s] 43%|████▎ | 12/28 [00:07<00:10, 1.55it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.55it/s] 50%|█████ | 14/28 [00:09<00:09, 1.55it/s] 54%|█████▎ | 15/28 [00:09<00:08, 1.55it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.55it/s] 61%|██████ | 17/28 [00:11<00:07, 1.55it/s] 64%|██████▍ | 18/28 [00:11<00:06, 1.55it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.55it/s] 71%|███████▏ | 20/28 [00:12<00:05, 1.55it/s] 75%|███████▌ | 21/28 [00:13<00:04, 1.55it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.55it/s] 82%|████████▏ | 23/28 [00:14<00:03, 1.55it/s] 86%|████████▌ | 24/28 [00:15<00:02, 1.55it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.55it/s] 93%|█████████▎| 26/28 [00:16<00:01, 1.55it/s] 96%|█████████▋| 27/28 [00:17<00:00, 1.55it/s] 100%|██████████| 28/28 [00:18<00:00, 1.55it/s] 100%|██████████| 28/28 [00:18<00:00, 1.55it/s]
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