aisha-ai-official / perfect-rsb-mix-v15
Prediction
aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673IDp3zrb1r1qxrme0cn4gd8ka7twcStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- vae
- default
- seed
- -1
- model
- PerfectRSBmix
- steps
- 40
- width
- 1024
- height
- 1024
- prompt
- street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup
- cfg_scale
- 5
- clip_skip
- 2
- pag_scale
- 3
- scheduler
- Euler a
- batch_size
- 1
- negative_prompt
- nsfw, naked
- guidance_rescale
- 0.5
- prepend_preprompt
{ "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run aisha-ai-official/perfect-rsb-mix-v15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", { input: { vae: "default", seed: -1, model: "PerfectRSBmix", steps: 40, width: 1024, height: 1024, prompt: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup", cfg_scale: 5, clip_skip: 2, pag_scale: 3, scheduler: "Euler a", batch_size: 1, negative_prompt: "nsfw, naked", guidance_rescale: 0.5, prepend_preprompt: true } } ); // 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 aisha-ai-official/perfect-rsb-mix-v15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", input={ "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aisha-ai-official/perfect-rsb-mix-v15 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": "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/aisha-ai-official/perfect-rsb-mix-v15@sha256:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673 \ -i 'vae="default"' \ -i 'seed=-1' \ -i 'model="PerfectRSBmix"' \ -i 'steps=40' \ -i 'width=1024' \ -i 'height=1024' \ -i 'prompt="street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup"' \ -i 'cfg_scale=5' \ -i 'clip_skip=2' \ -i 'pag_scale=3' \ -i 'scheduler="Euler a"' \ -i 'batch_size=1' \ -i 'negative_prompt="nsfw, naked"' \ -i 'guidance_rescale=0.5' \ -i 'prepend_preprompt=true'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/aisha-ai-official/perfect-rsb-mix-v15@sha256:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2025-02-20T16:04:06.663023Z", "created_at": "2025-02-20T16:03:59.039000Z", "data_removed": false, "error": null, "id": "p3zrb1r1qxrme0cn4gd8ka7twc", "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true }, "logs": "Using text to image mode.\nUsing seed: 401743199\n 0%| | 0/40 [00:00<?, ?it/s]\n 5%|▌ | 2/40 [00:00<00:04, 9.10it/s]\n 8%|▊ | 3/40 [00:00<00:04, 7.87it/s]\n 10%|█ | 4/40 [00:00<00:04, 7.35it/s]\n 12%|█▎ | 5/40 [00:00<00:04, 7.06it/s]\n 15%|█▌ | 6/40 [00:00<00:04, 6.91it/s]\n 18%|█▊ | 7/40 [00:00<00:04, 6.80it/s]\n 20%|██ | 8/40 [00:01<00:04, 6.74it/s]\n 22%|██▎ | 9/40 [00:01<00:04, 6.69it/s]\n 25%|██▌ | 10/40 [00:01<00:04, 6.67it/s]\n 28%|██▊ | 11/40 [00:01<00:04, 6.64it/s]\n 30%|███ | 12/40 [00:01<00:04, 6.61it/s]\n 32%|███▎ | 13/40 [00:01<00:04, 6.61it/s]\n 35%|███▌ | 14/40 [00:02<00:03, 6.59it/s]\n 38%|███▊ | 15/40 [00:02<00:03, 6.59it/s]\n 40%|████ | 16/40 [00:02<00:03, 6.59it/s]\n 42%|████▎ | 17/40 [00:02<00:03, 6.58it/s]\n 45%|████▌ | 18/40 [00:02<00:03, 6.58it/s]\n 48%|████▊ | 19/40 [00:02<00:03, 6.57it/s]\n 50%|█████ | 20/40 [00:02<00:03, 6.57it/s]\n 52%|█████▎ | 21/40 [00:03<00:02, 6.57it/s]\n 55%|█████▌ | 22/40 [00:03<00:02, 6.56it/s]\n 57%|█████▊ | 23/40 [00:03<00:02, 6.56it/s]\n 60%|██████ | 24/40 [00:03<00:02, 6.56it/s]\n 62%|██████▎ | 25/40 [00:03<00:02, 6.55it/s]\n 65%|██████▌ | 26/40 [00:03<00:02, 6.55it/s]\n 68%|██████▊ | 27/40 [00:04<00:01, 6.55it/s]\n 70%|███████ | 28/40 [00:04<00:01, 6.54it/s]\n 72%|███████▎ | 29/40 [00:04<00:01, 6.54it/s]\n 75%|███████▌ | 30/40 [00:04<00:01, 6.54it/s]\n 78%|███████▊ | 31/40 [00:04<00:01, 6.54it/s]\n 80%|████████ | 32/40 [00:04<00:01, 6.53it/s]\n 82%|████████▎ | 33/40 [00:04<00:01, 6.53it/s]\n 85%|████████▌ | 34/40 [00:05<00:00, 6.53it/s]\n 88%|████████▊ | 35/40 [00:05<00:00, 6.53it/s]\n 90%|█████████ | 36/40 [00:05<00:00, 6.53it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 6.52it/s]\n 95%|█████████▌| 38/40 [00:05<00:00, 6.52it/s]\n 98%|█████████▊| 39/40 [00:05<00:00, 6.52it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.52it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.65it/s]", "metrics": { "predict_time": 7.615339507, "total_time": 7.624023 }, "output": [ "https://replicate.delivery/xezq/8YiWh1SonJayOhLyf4RdmE3cvt7ZyFap8jGk7cIS5hd7IoIKA/0.png" ], "started_at": "2025-02-20T16:03:59.047683Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-r6rxuxk5j4dlge7lczxvbruunbaqg2cvp3i6n6kdm35isatglfza", "get": "https://api.replicate.com/v1/predictions/p3zrb1r1qxrme0cn4gd8ka7twc", "cancel": "https://api.replicate.com/v1/predictions/p3zrb1r1qxrme0cn4gd8ka7twc/cancel" }, "version": "ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673" }Generated inUsing text to image mode. Using seed: 401743199 0%| | 0/40 [00:00<?, ?it/s] 5%|▌ | 2/40 [00:00<00:04, 9.10it/s] 8%|▊ | 3/40 [00:00<00:04, 7.87it/s] 10%|█ | 4/40 [00:00<00:04, 7.35it/s] 12%|█▎ | 5/40 [00:00<00:04, 7.06it/s] 15%|█▌ | 6/40 [00:00<00:04, 6.91it/s] 18%|█▊ | 7/40 [00:00<00:04, 6.80it/s] 20%|██ | 8/40 [00:01<00:04, 6.74it/s] 22%|██▎ | 9/40 [00:01<00:04, 6.69it/s] 25%|██▌ | 10/40 [00:01<00:04, 6.67it/s] 28%|██▊ | 11/40 [00:01<00:04, 6.64it/s] 30%|███ | 12/40 [00:01<00:04, 6.61it/s] 32%|███▎ | 13/40 [00:01<00:04, 6.61it/s] 35%|███▌ | 14/40 [00:02<00:03, 6.59it/s] 38%|███▊ | 15/40 [00:02<00:03, 6.59it/s] 40%|████ | 16/40 [00:02<00:03, 6.59it/s] 42%|████▎ | 17/40 [00:02<00:03, 6.58it/s] 45%|████▌ | 18/40 [00:02<00:03, 6.58it/s] 48%|████▊ | 19/40 [00:02<00:03, 6.57it/s] 50%|█████ | 20/40 [00:02<00:03, 6.57it/s] 52%|█████▎ | 21/40 [00:03<00:02, 6.57it/s] 55%|█████▌ | 22/40 [00:03<00:02, 6.56it/s] 57%|█████▊ | 23/40 [00:03<00:02, 6.56it/s] 60%|██████ | 24/40 [00:03<00:02, 6.56it/s] 62%|██████▎ | 25/40 [00:03<00:02, 6.55it/s] 65%|██████▌ | 26/40 [00:03<00:02, 6.55it/s] 68%|██████▊ | 27/40 [00:04<00:01, 6.55it/s] 70%|███████ | 28/40 [00:04<00:01, 6.54it/s] 72%|███████▎ | 29/40 [00:04<00:01, 6.54it/s] 75%|███████▌ | 30/40 [00:04<00:01, 6.54it/s] 78%|███████▊ | 31/40 [00:04<00:01, 6.54it/s] 80%|████████ | 32/40 [00:04<00:01, 6.53it/s] 82%|████████▎ | 33/40 [00:04<00:01, 6.53it/s] 85%|████████▌ | 34/40 [00:05<00:00, 6.53it/s] 88%|████████▊ | 35/40 [00:05<00:00, 6.53it/s] 90%|█████████ | 36/40 [00:05<00:00, 6.53it/s] 92%|█████████▎| 37/40 [00:05<00:00, 6.52it/s] 95%|█████████▌| 38/40 [00:05<00:00, 6.52it/s] 98%|█████████▊| 39/40 [00:05<00:00, 6.52it/s] 100%|██████████| 40/40 [00:06<00:00, 6.52it/s] 100%|██████████| 40/40 [00:06<00:00, 6.65it/s]Prediction
aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673ID7a7n67sv5drm80cn4gdsr1d184StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- vae
- default
- seed
- -1
- model
- PerfectRSBmix
- steps
- 40
- width
- 1024
- height
- 1024
- prompt
- cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup
- cfg_scale
- 5
- clip_skip
- 2
- pag_scale
- 3
- scheduler
- Euler a
- batch_size
- 1
- negative_prompt
- nsfw, naked
- guidance_rescale
- 0.5
- prepend_preprompt
{ "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run aisha-ai-official/perfect-rsb-mix-v15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", { input: { vae: "default", seed: -1, model: "PerfectRSBmix", steps: 40, width: 1024, height: 1024, prompt: "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup", cfg_scale: 5, clip_skip: 2, pag_scale: 3, scheduler: "Euler a", batch_size: 1, negative_prompt: "nsfw, naked", guidance_rescale: 0.5, prepend_preprompt: true } } ); // 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 aisha-ai-official/perfect-rsb-mix-v15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", input={ "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aisha-ai-official/perfect-rsb-mix-v15 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": "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/aisha-ai-official/perfect-rsb-mix-v15@sha256:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673 \ -i 'vae="default"' \ -i 'seed=-1' \ -i 'model="PerfectRSBmix"' \ -i 'steps=40' \ -i 'width=1024' \ -i 'height=1024' \ -i 'prompt="cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup"' \ -i 'cfg_scale=5' \ -i 'clip_skip=2' \ -i 'pag_scale=3' \ -i 'scheduler="Euler a"' \ -i 'batch_size=1' \ -i 'negative_prompt="nsfw, naked"' \ -i 'guidance_rescale=0.5' \ -i 'prepend_preprompt=true'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/aisha-ai-official/perfect-rsb-mix-v15@sha256:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2025-02-20T16:05:27.362047Z", "created_at": "2025-02-20T16:05:19.275000Z", "data_removed": false, "error": null, "id": "7a7n67sv5drm80cn4gdsr1d184", "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup", "cfg_scale": 5, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true }, "logs": "Using text to image mode.\nUsing seed: 1902017077\n 0%| | 0/40 [00:00<?, ?it/s]\n 5%|▌ | 2/40 [00:00<00:04, 9.09it/s]\n 8%|▊ | 3/40 [00:00<00:04, 7.86it/s]\n 10%|█ | 4/40 [00:00<00:04, 7.33it/s]\n 12%|█▎ | 5/40 [00:00<00:04, 7.05it/s]\n 15%|█▌ | 6/40 [00:00<00:04, 6.89it/s]\n 18%|█▊ | 7/40 [00:00<00:04, 6.78it/s]\n 20%|██ | 8/40 [00:01<00:04, 6.72it/s]\n 22%|██▎ | 9/40 [00:01<00:04, 6.68it/s]\n 25%|██▌ | 10/40 [00:01<00:04, 6.64it/s]\n 28%|██▊ | 11/40 [00:01<00:04, 6.62it/s]\n 30%|███ | 12/40 [00:01<00:04, 6.59it/s]\n 32%|███▎ | 13/40 [00:01<00:04, 6.58it/s]\n 35%|███▌ | 14/40 [00:02<00:03, 6.58it/s]\n 38%|███▊ | 15/40 [00:02<00:03, 6.57it/s]\n 40%|████ | 16/40 [00:02<00:03, 6.56it/s]\n 42%|████▎ | 17/40 [00:02<00:03, 6.54it/s]\n 45%|████▌ | 18/40 [00:02<00:03, 6.54it/s]\n 48%|████▊ | 19/40 [00:02<00:03, 6.53it/s]\n 50%|█████ | 20/40 [00:02<00:03, 6.53it/s]\n 52%|█████▎ | 21/40 [00:03<00:02, 6.53it/s]\n 55%|█████▌ | 22/40 [00:03<00:02, 6.53it/s]\n 57%|█████▊ | 23/40 [00:03<00:02, 6.53it/s]\n 60%|██████ | 24/40 [00:03<00:02, 6.53it/s]\n 62%|██████▎ | 25/40 [00:03<00:02, 6.52it/s]\n 65%|██████▌ | 26/40 [00:03<00:02, 6.53it/s]\n 68%|██████▊ | 27/40 [00:04<00:01, 6.52it/s]\n 70%|███████ | 28/40 [00:04<00:01, 6.51it/s]\n 72%|███████▎ | 29/40 [00:04<00:01, 6.51it/s]\n 75%|███████▌ | 30/40 [00:04<00:01, 6.51it/s]\n 78%|███████▊ | 31/40 [00:04<00:01, 6.50it/s]\n 80%|████████ | 32/40 [00:04<00:01, 6.50it/s]\n 82%|████████▎ | 33/40 [00:04<00:01, 6.50it/s]\n 85%|████████▌ | 34/40 [00:05<00:00, 6.50it/s]\n 88%|████████▊ | 35/40 [00:05<00:00, 6.50it/s]\n 90%|█████████ | 36/40 [00:05<00:00, 6.50it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 6.50it/s]\n 95%|█████████▌| 38/40 [00:05<00:00, 6.50it/s]\n 98%|█████████▊| 39/40 [00:05<00:00, 6.49it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.49it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.62it/s]", "metrics": { "predict_time": 8.077994929, "total_time": 8.087047 }, "output": [ "https://replicate.delivery/xezq/cXxDpTpgtJpXMRKuQfE45KVePyuh8XT9XAuM26Q0znRHTQRUA/0.png" ], "started_at": "2025-02-20T16:05:19.284052Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-o4vyalmnvntblfmc5mez7agqlrl2odnyqidi7ygxbod376z2mptq", "get": "https://api.replicate.com/v1/predictions/7a7n67sv5drm80cn4gdsr1d184", "cancel": "https://api.replicate.com/v1/predictions/7a7n67sv5drm80cn4gdsr1d184/cancel" }, "version": "ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673" }Generated inUsing text to image mode. Using seed: 1902017077 0%| | 0/40 [00:00<?, ?it/s] 5%|▌ | 2/40 [00:00<00:04, 9.09it/s] 8%|▊ | 3/40 [00:00<00:04, 7.86it/s] 10%|█ | 4/40 [00:00<00:04, 7.33it/s] 12%|█▎ | 5/40 [00:00<00:04, 7.05it/s] 15%|█▌ | 6/40 [00:00<00:04, 6.89it/s] 18%|█▊ | 7/40 [00:00<00:04, 6.78it/s] 20%|██ | 8/40 [00:01<00:04, 6.72it/s] 22%|██▎ | 9/40 [00:01<00:04, 6.68it/s] 25%|██▌ | 10/40 [00:01<00:04, 6.64it/s] 28%|██▊ | 11/40 [00:01<00:04, 6.62it/s] 30%|███ | 12/40 [00:01<00:04, 6.59it/s] 32%|███▎ | 13/40 [00:01<00:04, 6.58it/s] 35%|███▌ | 14/40 [00:02<00:03, 6.58it/s] 38%|███▊ | 15/40 [00:02<00:03, 6.57it/s] 40%|████ | 16/40 [00:02<00:03, 6.56it/s] 42%|████▎ | 17/40 [00:02<00:03, 6.54it/s] 45%|████▌ | 18/40 [00:02<00:03, 6.54it/s] 48%|████▊ | 19/40 [00:02<00:03, 6.53it/s] 50%|█████ | 20/40 [00:02<00:03, 6.53it/s] 52%|█████▎ | 21/40 [00:03<00:02, 6.53it/s] 55%|█████▌ | 22/40 [00:03<00:02, 6.53it/s] 57%|█████▊ | 23/40 [00:03<00:02, 6.53it/s] 60%|██████ | 24/40 [00:03<00:02, 6.53it/s] 62%|██████▎ | 25/40 [00:03<00:02, 6.52it/s] 65%|██████▌ | 26/40 [00:03<00:02, 6.53it/s] 68%|██████▊ | 27/40 [00:04<00:01, 6.52it/s] 70%|███████ | 28/40 [00:04<00:01, 6.51it/s] 72%|███████▎ | 29/40 [00:04<00:01, 6.51it/s] 75%|███████▌ | 30/40 [00:04<00:01, 6.51it/s] 78%|███████▊ | 31/40 [00:04<00:01, 6.50it/s] 80%|████████ | 32/40 [00:04<00:01, 6.50it/s] 82%|████████▎ | 33/40 [00:04<00:01, 6.50it/s] 85%|████████▌ | 34/40 [00:05<00:00, 6.50it/s] 88%|████████▊ | 35/40 [00:05<00:00, 6.50it/s] 90%|█████████ | 36/40 [00:05<00:00, 6.50it/s] 92%|█████████▎| 37/40 [00:05<00:00, 6.50it/s] 95%|█████████▌| 38/40 [00:05<00:00, 6.50it/s] 98%|█████████▊| 39/40 [00:05<00:00, 6.49it/s] 100%|██████████| 40/40 [00:06<00:00, 6.49it/s] 100%|██████████| 40/40 [00:06<00:00, 6.62it/s]Prediction
aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673ID50pe2keeenrm80cn4geajqah7mStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- vae
- default
- seed
- -1
- model
- PerfectRSBmix
- steps
- 40
- width
- 1024
- height
- 1024
- prompt
- Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup
- cfg_scale
- 7
- clip_skip
- 2
- pag_scale
- 3
- scheduler
- Euler a
- batch_size
- 1
- negative_prompt
- nsfw, naked
- guidance_rescale
- 0.5
- prepend_preprompt
{ "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": false }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run aisha-ai-official/perfect-rsb-mix-v15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", { input: { vae: "default", seed: -1, model: "PerfectRSBmix", steps: 40, width: 1024, height: 1024, prompt: "Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup", cfg_scale: 7, clip_skip: 2, pag_scale: 3, scheduler: "Euler a", batch_size: 1, negative_prompt: "nsfw, naked", guidance_rescale: 0.5, prepend_preprompt: false } } ); // 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 aisha-ai-official/perfect-rsb-mix-v15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", input={ "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": False } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aisha-ai-official/perfect-rsb-mix-v15 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": "aisha-ai-official/perfect-rsb-mix-v15:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673", "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": false } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/aisha-ai-official/perfect-rsb-mix-v15@sha256:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673 \ -i 'vae="default"' \ -i 'seed=-1' \ -i 'model="PerfectRSBmix"' \ -i 'steps=40' \ -i 'width=1024' \ -i 'height=1024' \ -i 'prompt="Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup"' \ -i 'cfg_scale=7' \ -i 'clip_skip=2' \ -i 'pag_scale=3' \ -i 'scheduler="Euler a"' \ -i 'batch_size=1' \ -i 'negative_prompt="nsfw, naked"' \ -i 'guidance_rescale=0.5' \ -i 'prepend_preprompt=false'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/aisha-ai-official/perfect-rsb-mix-v15@sha256:ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": false } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2025-02-20T16:07:10.787436Z", "created_at": "2025-02-20T16:07:02.517000Z", "data_removed": false, "error": null, "id": "50pe2keeenrm80cn4geajqah7m", "input": { "vae": "default", "seed": -1, "model": "PerfectRSBmix", "steps": 40, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, darkroom, low light, closeup", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": false }, "logs": "Using text to image mode.\nUsing seed: 425013313\n 0%| | 0/40 [00:00<?, ?it/s]\n 5%|▌ | 2/40 [00:00<00:04, 9.00it/s]\n 8%|▊ | 3/40 [00:00<00:04, 7.78it/s]\n 10%|█ | 4/40 [00:00<00:04, 7.28it/s]\n 12%|█▎ | 5/40 [00:00<00:05, 6.99it/s]\n 15%|█▌ | 6/40 [00:00<00:04, 6.84it/s]\n 18%|█▊ | 7/40 [00:00<00:04, 6.73it/s]\n 20%|██ | 8/40 [00:01<00:04, 6.66it/s]\n 22%|██▎ | 9/40 [00:01<00:04, 6.61it/s]\n 25%|██▌ | 10/40 [00:01<00:04, 6.58it/s]\n 28%|██▊ | 11/40 [00:01<00:04, 6.55it/s]\n 30%|███ | 12/40 [00:01<00:04, 6.54it/s]\n 32%|███▎ | 13/40 [00:01<00:04, 6.52it/s]\n 35%|███▌ | 14/40 [00:02<00:03, 6.51it/s]\n 38%|███▊ | 15/40 [00:02<00:03, 6.50it/s]\n 40%|████ | 16/40 [00:02<00:03, 6.50it/s]\n 42%|████▎ | 17/40 [00:02<00:03, 6.50it/s]\n 45%|████▌ | 18/40 [00:02<00:03, 6.49it/s]\n 48%|████▊ | 19/40 [00:02<00:03, 6.49it/s]\n 50%|█████ | 20/40 [00:02<00:03, 6.49it/s]\n 52%|█████▎ | 21/40 [00:03<00:02, 6.48it/s]\n 55%|█████▌ | 22/40 [00:03<00:02, 6.47it/s]\n 57%|█████▊ | 23/40 [00:03<00:02, 6.47it/s]\n 60%|██████ | 24/40 [00:03<00:02, 6.48it/s]\n 62%|██████▎ | 25/40 [00:03<00:02, 6.47it/s]\n 65%|██████▌ | 26/40 [00:03<00:02, 6.46it/s]\n 68%|██████▊ | 27/40 [00:04<00:02, 6.46it/s]\n 70%|███████ | 28/40 [00:04<00:01, 6.47it/s]\n 72%|███████▎ | 29/40 [00:04<00:01, 6.47it/s]\n 75%|███████▌ | 30/40 [00:04<00:01, 6.47it/s]\n 78%|███████▊ | 31/40 [00:04<00:01, 6.46it/s]\n 80%|████████ | 32/40 [00:04<00:01, 6.47it/s]\n 82%|████████▎ | 33/40 [00:05<00:01, 6.46it/s]\n 85%|████████▌ | 34/40 [00:05<00:00, 6.45it/s]\n 88%|████████▊ | 35/40 [00:05<00:00, 6.45it/s]\n 90%|█████████ | 36/40 [00:05<00:00, 6.46it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 6.45it/s]\n 95%|█████████▌| 38/40 [00:05<00:00, 6.45it/s]\n 98%|█████████▊| 39/40 [00:05<00:00, 6.45it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.45it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.57it/s]", "metrics": { "predict_time": 8.262358047, "total_time": 8.270436 }, "output": [ "https://replicate.delivery/xezq/YtAUPtIaiE7UNpzTHZQascJo2Ff7IiahQA1mFHNWc4DXKoIKA/0.png" ], "started_at": "2025-02-20T16:07:02.525078Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-mk32hnxjqku4t2sphfuea44kvf4wgptsxlgpo6guuvapu44apueq", "get": "https://api.replicate.com/v1/predictions/50pe2keeenrm80cn4geajqah7m", "cancel": "https://api.replicate.com/v1/predictions/50pe2keeenrm80cn4geajqah7m/cancel" }, "version": "ae2191905b35c7167d695066bfebcd8ae438e09b809b37c453aee030d92ad673" }Generated inUsing text to image mode. Using seed: 425013313 0%| | 0/40 [00:00<?, ?it/s] 5%|▌ | 2/40 [00:00<00:04, 9.00it/s] 8%|▊ | 3/40 [00:00<00:04, 7.78it/s] 10%|█ | 4/40 [00:00<00:04, 7.28it/s] 12%|█▎ | 5/40 [00:00<00:05, 6.99it/s] 15%|█▌ | 6/40 [00:00<00:04, 6.84it/s] 18%|█▊ | 7/40 [00:00<00:04, 6.73it/s] 20%|██ | 8/40 [00:01<00:04, 6.66it/s] 22%|██▎ | 9/40 [00:01<00:04, 6.61it/s] 25%|██▌ | 10/40 [00:01<00:04, 6.58it/s] 28%|██▊ | 11/40 [00:01<00:04, 6.55it/s] 30%|███ | 12/40 [00:01<00:04, 6.54it/s] 32%|███▎ | 13/40 [00:01<00:04, 6.52it/s] 35%|███▌ | 14/40 [00:02<00:03, 6.51it/s] 38%|███▊ | 15/40 [00:02<00:03, 6.50it/s] 40%|████ | 16/40 [00:02<00:03, 6.50it/s] 42%|████▎ | 17/40 [00:02<00:03, 6.50it/s] 45%|████▌ | 18/40 [00:02<00:03, 6.49it/s] 48%|████▊ | 19/40 [00:02<00:03, 6.49it/s] 50%|█████ | 20/40 [00:02<00:03, 6.49it/s] 52%|█████▎ | 21/40 [00:03<00:02, 6.48it/s] 55%|█████▌ | 22/40 [00:03<00:02, 6.47it/s] 57%|█████▊ | 23/40 [00:03<00:02, 6.47it/s] 60%|██████ | 24/40 [00:03<00:02, 6.48it/s] 62%|██████▎ | 25/40 [00:03<00:02, 6.47it/s] 65%|██████▌ | 26/40 [00:03<00:02, 6.46it/s] 68%|██████▊ | 27/40 [00:04<00:02, 6.46it/s] 70%|███████ | 28/40 [00:04<00:01, 6.47it/s] 72%|███████▎ | 29/40 [00:04<00:01, 6.47it/s] 75%|███████▌ | 30/40 [00:04<00:01, 6.47it/s] 78%|███████▊ | 31/40 [00:04<00:01, 6.46it/s] 80%|████████ | 32/40 [00:04<00:01, 6.47it/s] 82%|████████▎ | 33/40 [00:05<00:01, 6.46it/s] 85%|████████▌ | 34/40 [00:05<00:00, 6.45it/s] 88%|████████▊ | 35/40 [00:05<00:00, 6.45it/s] 90%|█████████ | 36/40 [00:05<00:00, 6.46it/s] 92%|█████████▎| 37/40 [00:05<00:00, 6.45it/s] 95%|█████████▌| 38/40 [00:05<00:00, 6.45it/s] 98%|█████████▊| 39/40 [00:05<00:00, 6.45it/s] 100%|██████████| 40/40 [00:06<00:00, 6.45it/s] 100%|██████████| 40/40 [00:06<00:00, 6.57it/s]
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