aisha-ai-official / fasercore-illustrious-v1
- Public
- 113 runs
-
L40S
Prediction
aisha-ai-official/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1bIDf5m31rqqcsrm80cnea2br95jqwStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- vae
- Neptunia
- seed
- -1
- model
- FaserCore-Illustrious-v1
- steps
- 30
- width
- 1024
- height
- 1024
- prompt
- street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, sharp image
- cfg_scale
- 15
- clip_skip
- 1
- pag_scale
- 0
- scheduler
- DPM++ 2M SDE Karras
- batch_size
- 1
- adetailer_face
- adetailer_hand
- negative_prompt
- nsfw, naked, film grain, jpeg artifacts
- adetailer_person
- guidance_rescale
- 1
- prepend_preprompt
{ "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, sharp image", "cfg_scale": 15, "clip_skip": 1, "pag_scale": 0, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true }
Install Replicate’s Node.js client library:npm install replicate
Import 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/fasercore-illustrious-v1 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/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", { input: { vae: "Neptunia", seed: -1, model: "FaserCore-Illustrious-v1", steps: 30, width: 1024, height: 1024, prompt: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, sharp image", cfg_scale: 15, clip_skip: 1, pag_scale: 0, scheduler: "DPM++ 2M SDE Karras", batch_size: 1, adetailer_face: true, adetailer_hand: false, negative_prompt: "nsfw, naked, film grain, jpeg artifacts", adetailer_person: false, guidance_rescale: 1, 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 replicate
Import the client:import replicate
Run aisha-ai-official/fasercore-illustrious-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aisha-ai-official/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", input={ "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, sharp image", "cfg_scale": 15, "clip_skip": 1, "pag_scale": 0, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "adetailer_face": True, "adetailer_hand": False, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": False, "guidance_rescale": 1, "prepend_preprompt": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run aisha-ai-official/fasercore-illustrious-v1 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/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", "input": { "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, sharp image", "cfg_scale": 15, "clip_skip": 1, "pag_scale": 0, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-07T21:31:21.194785Z", "created_at": "2025-03-07T21:31:11.590000Z", "data_removed": false, "error": null, "id": "f5m31rqqcsrm80cnea2br95jqw", "input": { "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V, sharp image", "cfg_scale": 15, "clip_skip": 1, "pag_scale": 0, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true }, "logs": "Using text to image mode.\nUsing seed: 1551633961\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:03, 8.58it/s]\n 10%|█ | 3/30 [00:00<00:02, 10.14it/s]\n 13%|█▎ | 4/30 [00:00<00:02, 9.36it/s]\n 17%|█▋ | 5/30 [00:00<00:02, 8.92it/s]\n 20%|██ | 6/30 [00:00<00:02, 8.65it/s]\n 23%|██▎ | 7/30 [00:00<00:02, 8.47it/s]\n 27%|██▋ | 8/30 [00:00<00:02, 8.37it/s]\n 30%|███ | 9/30 [00:01<00:02, 8.29it/s]\n 33%|███▎ | 10/30 [00:01<00:02, 8.24it/s]\n 37%|███▋ | 11/30 [00:01<00:02, 8.21it/s]\n 40%|████ | 12/30 [00:01<00:02, 8.18it/s]\n 43%|████▎ | 13/30 [00:01<00:02, 8.15it/s]\n 47%|████▋ | 14/30 [00:01<00:01, 8.14it/s]\n 50%|█████ | 15/30 [00:01<00:01, 8.14it/s]\n 53%|█████▎ | 16/30 [00:01<00:01, 8.14it/s]\n 57%|█████▋ | 17/30 [00:02<00:01, 8.14it/s]\n 60%|██████ | 18/30 [00:02<00:01, 8.12it/s]\n 63%|██████▎ | 19/30 [00:02<00:01, 8.11it/s]\n 67%|██████▋ | 20/30 [00:02<00:01, 8.09it/s]\n 70%|███████ | 21/30 [00:02<00:01, 8.09it/s]\n 73%|███████▎ | 22/30 [00:02<00:00, 8.10it/s]\n 77%|███████▋ | 23/30 [00:02<00:00, 8.10it/s]\n 80%|████████ | 24/30 [00:02<00:00, 8.10it/s]\n 83%|████████▎ | 25/30 [00:03<00:00, 8.10it/s]\n 87%|████████▋ | 26/30 [00:03<00:00, 8.10it/s]\n 90%|█████████ | 27/30 [00:03<00:00, 8.10it/s]\n 93%|█████████▎| 28/30 [00:03<00:00, 8.09it/s]\n 97%|█████████▋| 29/30 [00:03<00:00, 8.09it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.08it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.26it/s]\nInpainting...\n0: 640x640 3 faces, 5.4ms\nSpeed: 1.6ms preprocess, 5.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)\npadded dim: (np.int64(365), np.int64(125), np.int64(682), np.int64(501))\nLoading StableDiffusionXLInpaintPipeline\n 0%| | 0/4 [00:00<?, ?it/s]\n 25%|██▌ | 1/4 [00:00<00:00, 8.47it/s]\n 50%|█████ | 2/4 [00:00<00:00, 8.26it/s]\n 75%|███████▌ | 3/4 [00:00<00:00, 8.20it/s]\n100%|██████████| 4/4 [00:00<00:00, 8.89it/s]\ngenerated inpaint dim: (1024, 1024)\npadded dim: (np.int64(186), np.int64(351), np.int64(281), np.int64(452))\n 0%| | 0/4 [00:00<?, ?it/s]\n 25%|██▌ | 1/4 [00:00<00:00, 8.44it/s]\n 50%|█████ | 2/4 [00:00<00:00, 8.23it/s]\n 75%|███████▌ | 3/4 [00:00<00:00, 8.20it/s]\n100%|██████████| 4/4 [00:00<00:00, 8.92it/s]\ngenerated inpaint dim: (1024, 1024)\npadded dim: (np.int64(287), np.int64(330), np.int64(371), np.int64(424))\n 0%| | 0/4 [00:00<?, ?it/s]\n 25%|██▌ | 1/4 [00:00<00:00, 8.60it/s]\n 50%|█████ | 2/4 [00:00<00:00, 8.31it/s]\n 75%|███████▌ | 3/4 [00:00<00:00, 8.25it/s]\n100%|██████████| 4/4 [00:00<00:00, 8.96it/s]\ngenerated inpaint dim: (1024, 1024)", "metrics": { "predict_time": 9.596487844, "total_time": 9.604785 }, "output": [ "https://replicate.delivery/xezq/O6EjO7fqeMuwt0eZwIlaYYSNSyBMl8YGQO0OiUjQll0S9isoA/0.png" ], "started_at": "2025-03-07T21:31:11.598297Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-c5g3b5guqv6rqjo7pgavljx3mqv7xzvhf7tpk52evwihjxapmvaa", "get": "https://api.replicate.com/v1/predictions/f5m31rqqcsrm80cnea2br95jqw", "cancel": "https://api.replicate.com/v1/predictions/f5m31rqqcsrm80cnea2br95jqw/cancel" }, "version": "dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b" }
Generated inUsing text to image mode. Using seed: 1551633961 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:03, 8.58it/s] 10%|█ | 3/30 [00:00<00:02, 10.14it/s] 13%|█▎ | 4/30 [00:00<00:02, 9.36it/s] 17%|█▋ | 5/30 [00:00<00:02, 8.92it/s] 20%|██ | 6/30 [00:00<00:02, 8.65it/s] 23%|██▎ | 7/30 [00:00<00:02, 8.47it/s] 27%|██▋ | 8/30 [00:00<00:02, 8.37it/s] 30%|███ | 9/30 [00:01<00:02, 8.29it/s] 33%|███▎ | 10/30 [00:01<00:02, 8.24it/s] 37%|███▋ | 11/30 [00:01<00:02, 8.21it/s] 40%|████ | 12/30 [00:01<00:02, 8.18it/s] 43%|████▎ | 13/30 [00:01<00:02, 8.15it/s] 47%|████▋ | 14/30 [00:01<00:01, 8.14it/s] 50%|█████ | 15/30 [00:01<00:01, 8.14it/s] 53%|█████▎ | 16/30 [00:01<00:01, 8.14it/s] 57%|█████▋ | 17/30 [00:02<00:01, 8.14it/s] 60%|██████ | 18/30 [00:02<00:01, 8.12it/s] 63%|██████▎ | 19/30 [00:02<00:01, 8.11it/s] 67%|██████▋ | 20/30 [00:02<00:01, 8.09it/s] 70%|███████ | 21/30 [00:02<00:01, 8.09it/s] 73%|███████▎ | 22/30 [00:02<00:00, 8.10it/s] 77%|███████▋ | 23/30 [00:02<00:00, 8.10it/s] 80%|████████ | 24/30 [00:02<00:00, 8.10it/s] 83%|████████▎ | 25/30 [00:03<00:00, 8.10it/s] 87%|████████▋ | 26/30 [00:03<00:00, 8.10it/s] 90%|█████████ | 27/30 [00:03<00:00, 8.10it/s] 93%|█████████▎| 28/30 [00:03<00:00, 8.09it/s] 97%|█████████▋| 29/30 [00:03<00:00, 8.09it/s] 100%|██████████| 30/30 [00:03<00:00, 8.08it/s] 100%|██████████| 30/30 [00:03<00:00, 8.26it/s] Inpainting... 0: 640x640 3 faces, 5.4ms Speed: 1.6ms preprocess, 5.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) padded dim: (np.int64(365), np.int64(125), np.int64(682), np.int64(501)) Loading StableDiffusionXLInpaintPipeline 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 8.47it/s] 50%|█████ | 2/4 [00:00<00:00, 8.26it/s] 75%|███████▌ | 3/4 [00:00<00:00, 8.20it/s] 100%|██████████| 4/4 [00:00<00:00, 8.89it/s] generated inpaint dim: (1024, 1024) padded dim: (np.int64(186), np.int64(351), np.int64(281), np.int64(452)) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 8.44it/s] 50%|█████ | 2/4 [00:00<00:00, 8.23it/s] 75%|███████▌ | 3/4 [00:00<00:00, 8.20it/s] 100%|██████████| 4/4 [00:00<00:00, 8.92it/s] generated inpaint dim: (1024, 1024) padded dim: (np.int64(287), np.int64(330), np.int64(371), np.int64(424)) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 8.60it/s] 50%|█████ | 2/4 [00:00<00:00, 8.31it/s] 75%|███████▌ | 3/4 [00:00<00:00, 8.25it/s] 100%|██████████| 4/4 [00:00<00:00, 8.96it/s] generated inpaint dim: (1024, 1024)
Prediction
aisha-ai-official/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1bIDxvgnzx4p21rme0cnea4v5kywmwStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- vae
- Neptunia
- seed
- -1
- model
- FaserCore-Illustrious-v1
- steps
- 30
- width
- 1024
- height
- 1024
- prompt
- cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive
- cfg_scale
- 7
- clip_skip
- 1
- pag_scale
- 0
- scheduler
- Euler a
- batch_size
- 1
- adetailer_face
- adetailer_hand
- negative_prompt
- nsfw, naked, film grain, jpeg artifacts
- adetailer_person
- guidance_rescale
- 1
- prepend_preprompt
{ "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true }
Install Replicate’s Node.js client library:npm install replicate
Import 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/fasercore-illustrious-v1 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/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", { input: { vae: "Neptunia", seed: -1, model: "FaserCore-Illustrious-v1", steps: 30, width: 1024, height: 1024, prompt: "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive", cfg_scale: 7, clip_skip: 1, pag_scale: 0, scheduler: "Euler a", batch_size: 1, adetailer_face: true, adetailer_hand: false, negative_prompt: "nsfw, naked, film grain, jpeg artifacts", adetailer_person: false, guidance_rescale: 1, 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 replicate
Import the client:import replicate
Run aisha-ai-official/fasercore-illustrious-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aisha-ai-official/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", input={ "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": True, "adetailer_hand": False, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": False, "guidance_rescale": 1, "prepend_preprompt": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run aisha-ai-official/fasercore-illustrious-v1 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/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", "input": { "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-07T21:36:21.436190Z", "created_at": "2025-03-07T21:36:14.352000Z", "data_removed": false, "error": null, "id": "xvgnzx4p21rme0cnea4v5kywmw", "input": { "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true }, "logs": "Using text to image mode.\nUsing seed: 1363391221\n 0%| | 0/30 [00:00<?, ?it/s]\n 7%|▋ | 2/30 [00:00<00:02, 11.19it/s]\n 13%|█▎ | 4/30 [00:00<00:02, 9.18it/s]\n 17%|█▋ | 5/30 [00:00<00:02, 8.83it/s]\n 20%|██ | 6/30 [00:00<00:02, 8.62it/s]\n 23%|██▎ | 7/30 [00:00<00:02, 8.48it/s]\n 27%|██▋ | 8/30 [00:00<00:02, 8.38it/s]\n 30%|███ | 9/30 [00:01<00:02, 8.30it/s]\n 33%|███▎ | 10/30 [00:01<00:02, 8.24it/s]\n 37%|███▋ | 11/30 [00:01<00:02, 8.19it/s]\n 40%|████ | 12/30 [00:01<00:02, 8.18it/s]\n 43%|████▎ | 13/30 [00:01<00:02, 8.17it/s]\n 47%|████▋ | 14/30 [00:01<00:01, 8.15it/s]\n 50%|█████ | 15/30 [00:01<00:01, 8.13it/s]\n 53%|█████▎ | 16/30 [00:01<00:01, 8.11it/s]\n 57%|█████▋ | 17/30 [00:02<00:01, 8.10it/s]\n 60%|██████ | 18/30 [00:02<00:01, 8.10it/s]\n 63%|██████▎ | 19/30 [00:02<00:01, 8.10it/s]\n 67%|██████▋ | 20/30 [00:02<00:01, 8.10it/s]\n 70%|███████ | 21/30 [00:02<00:01, 8.09it/s]\n 73%|███████▎ | 22/30 [00:02<00:00, 8.10it/s]\n 77%|███████▋ | 23/30 [00:02<00:00, 8.09it/s]\n 80%|████████ | 24/30 [00:02<00:00, 8.08it/s]\n 83%|████████▎ | 25/30 [00:03<00:00, 8.09it/s]\n 87%|████████▋ | 26/30 [00:03<00:00, 8.08it/s]\n 90%|█████████ | 27/30 [00:03<00:00, 8.08it/s]\n 93%|█████████▎| 28/30 [00:03<00:00, 8.08it/s]\n 97%|█████████▋| 29/30 [00:03<00:00, 8.08it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.08it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.26it/s]\nInpainting...\n0: 640x640 1 face, 6.0ms\nSpeed: 1.7ms preprocess, 6.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)\npadded dim: (np.int64(192), np.int64(75), np.int64(421), np.int64(369))\nLoading StableDiffusionXLInpaintPipeline\n 0%| | 0/4 [00:00<?, ?it/s]\n 25%|██▌ | 1/4 [00:00<00:00, 8.48it/s]\n 50%|█████ | 2/4 [00:00<00:00, 8.29it/s]\n 75%|███████▌ | 3/4 [00:00<00:00, 8.22it/s]\n100%|██████████| 4/4 [00:00<00:00, 8.84it/s]\ngenerated inpaint dim: (1024, 1024)", "metrics": { "predict_time": 7.076687904, "total_time": 7.08419 }, "output": [ "https://replicate.delivery/xezq/2KjdP5TYjTbHJtwCiCiW26dxQM8y1P47MwytoDX4VfsqxILKA/0.png" ], "started_at": "2025-03-07T21:36:14.359502Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-t5nxqtirwnwzqovuceiet2q5v5bp6be5o4fem3cxroawwuh6cuga", "get": "https://api.replicate.com/v1/predictions/xvgnzx4p21rme0cnea4v5kywmw", "cancel": "https://api.replicate.com/v1/predictions/xvgnzx4p21rme0cnea4v5kywmw/cancel" }, "version": "dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b" }
Generated inUsing text to image mode. Using seed: 1363391221 0%| | 0/30 [00:00<?, ?it/s] 7%|▋ | 2/30 [00:00<00:02, 11.19it/s] 13%|█▎ | 4/30 [00:00<00:02, 9.18it/s] 17%|█▋ | 5/30 [00:00<00:02, 8.83it/s] 20%|██ | 6/30 [00:00<00:02, 8.62it/s] 23%|██▎ | 7/30 [00:00<00:02, 8.48it/s] 27%|██▋ | 8/30 [00:00<00:02, 8.38it/s] 30%|███ | 9/30 [00:01<00:02, 8.30it/s] 33%|███▎ | 10/30 [00:01<00:02, 8.24it/s] 37%|███▋ | 11/30 [00:01<00:02, 8.19it/s] 40%|████ | 12/30 [00:01<00:02, 8.18it/s] 43%|████▎ | 13/30 [00:01<00:02, 8.17it/s] 47%|████▋ | 14/30 [00:01<00:01, 8.15it/s] 50%|█████ | 15/30 [00:01<00:01, 8.13it/s] 53%|█████▎ | 16/30 [00:01<00:01, 8.11it/s] 57%|█████▋ | 17/30 [00:02<00:01, 8.10it/s] 60%|██████ | 18/30 [00:02<00:01, 8.10it/s] 63%|██████▎ | 19/30 [00:02<00:01, 8.10it/s] 67%|██████▋ | 20/30 [00:02<00:01, 8.10it/s] 70%|███████ | 21/30 [00:02<00:01, 8.09it/s] 73%|███████▎ | 22/30 [00:02<00:00, 8.10it/s] 77%|███████▋ | 23/30 [00:02<00:00, 8.09it/s] 80%|████████ | 24/30 [00:02<00:00, 8.08it/s] 83%|████████▎ | 25/30 [00:03<00:00, 8.09it/s] 87%|████████▋ | 26/30 [00:03<00:00, 8.08it/s] 90%|█████████ | 27/30 [00:03<00:00, 8.08it/s] 93%|█████████▎| 28/30 [00:03<00:00, 8.08it/s] 97%|█████████▋| 29/30 [00:03<00:00, 8.08it/s] 100%|██████████| 30/30 [00:03<00:00, 8.08it/s] 100%|██████████| 30/30 [00:03<00:00, 8.26it/s] Inpainting... 0: 640x640 1 face, 6.0ms Speed: 1.7ms preprocess, 6.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) padded dim: (np.int64(192), np.int64(75), np.int64(421), np.int64(369)) Loading StableDiffusionXLInpaintPipeline 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 8.48it/s] 50%|█████ | 2/4 [00:00<00:00, 8.29it/s] 75%|███████▌ | 3/4 [00:00<00:00, 8.22it/s] 100%|██████████| 4/4 [00:00<00:00, 8.84it/s] generated inpaint dim: (1024, 1024)
Prediction
aisha-ai-official/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1bIDkxv6faf3zxrm80cnea4te7xsrcStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- vae
- Neptunia
- seed
- -1
- model
- FaserCore-Illustrious-v1
- steps
- 30
- width
- 1024
- height
- 1024
- prompt
- Ada Wong from Resident Evil 4, smile, low light
- cfg_scale
- 7
- clip_skip
- 1
- pag_scale
- 0
- scheduler
- Euler a
- batch_size
- 1
- adetailer_face
- adetailer_hand
- negative_prompt
- nsfw, naked, film grain, jpeg artifacts
- adetailer_person
- guidance_rescale
- 1
- prepend_preprompt
{ "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, low light", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true }
Install Replicate’s Node.js client library:npm install replicate
Import 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/fasercore-illustrious-v1 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/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", { input: { vae: "Neptunia", seed: -1, model: "FaserCore-Illustrious-v1", steps: 30, width: 1024, height: 1024, prompt: "Ada Wong from Resident Evil 4, smile, low light", cfg_scale: 7, clip_skip: 1, pag_scale: 0, scheduler: "Euler a", batch_size: 1, adetailer_face: true, adetailer_hand: false, negative_prompt: "nsfw, naked, film grain, jpeg artifacts", adetailer_person: false, guidance_rescale: 1, 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 replicate
Import the client:import replicate
Run aisha-ai-official/fasercore-illustrious-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aisha-ai-official/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", input={ "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, low light", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": True, "adetailer_hand": False, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": False, "guidance_rescale": 1, "prepend_preprompt": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run aisha-ai-official/fasercore-illustrious-v1 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/fasercore-illustrious-v1:dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b", "input": { "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, low light", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-07T21:36:42.249593Z", "created_at": "2025-03-07T21:36:34.303000Z", "data_removed": false, "error": null, "id": "kxv6faf3zxrm80cnea4te7xsrc", "input": { "vae": "Neptunia", "seed": -1, "model": "FaserCore-Illustrious-v1", "steps": 30, "width": 1024, "height": 1024, "prompt": "Ada Wong from Resident Evil 4, smile, low light", "cfg_scale": 7, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "adetailer_face": true, "adetailer_hand": false, "negative_prompt": "nsfw, naked, film grain, jpeg artifacts", "adetailer_person": false, "guidance_rescale": 1, "prepend_preprompt": true }, "logs": "Using text to image mode.\nUsing seed: 1174243022\n 0%| | 0/30 [00:00<?, ?it/s]\n 7%|▋ | 2/30 [00:00<00:02, 11.21it/s]\n 13%|█▎ | 4/30 [00:00<00:02, 9.20it/s]\n 17%|█▋ | 5/30 [00:00<00:02, 8.87it/s]\n 20%|██ | 6/30 [00:00<00:02, 8.65it/s]\n 23%|██▎ | 7/30 [00:00<00:02, 8.48it/s]\n 27%|██▋ | 8/30 [00:00<00:02, 8.37it/s]\n 30%|███ | 9/30 [00:01<00:02, 8.30it/s]\n 33%|███▎ | 10/30 [00:01<00:02, 8.24it/s]\n 37%|███▋ | 11/30 [00:01<00:02, 8.21it/s]\n 40%|████ | 12/30 [00:01<00:02, 8.19it/s]\n 43%|████▎ | 13/30 [00:01<00:02, 8.18it/s]\n 47%|████▋ | 14/30 [00:01<00:01, 8.17it/s]\n 50%|█████ | 15/30 [00:01<00:01, 8.14it/s]\n 53%|█████▎ | 16/30 [00:01<00:01, 8.13it/s]\n 57%|█████▋ | 17/30 [00:02<00:01, 8.12it/s]\n 60%|██████ | 18/30 [00:02<00:01, 8.12it/s]\n 63%|██████▎ | 19/30 [00:02<00:01, 8.11it/s]\n 67%|██████▋ | 20/30 [00:02<00:01, 8.12it/s]\n 70%|███████ | 21/30 [00:02<00:01, 8.13it/s]\n 73%|███████▎ | 22/30 [00:02<00:00, 8.12it/s]\n 77%|███████▋ | 23/30 [00:02<00:00, 8.12it/s]\n 80%|████████ | 24/30 [00:02<00:00, 8.13it/s]\n 83%|████████▎ | 25/30 [00:03<00:00, 8.11it/s]\n 87%|████████▋ | 26/30 [00:03<00:00, 8.10it/s]\n 90%|█████████ | 27/30 [00:03<00:00, 8.09it/s]\n 93%|█████████▎| 28/30 [00:03<00:00, 8.10it/s]\n 97%|█████████▋| 29/30 [00:03<00:00, 8.09it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.09it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.27it/s]\nInpainting...\n0: 640x640 1 face, 5.6ms\nSpeed: 1.7ms preprocess, 5.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)\npadded dim: (np.int64(288), np.int64(104), np.int64(656), np.int64(579))\nLoading StableDiffusionXLInpaintPipeline\n 0%| | 0/4 [00:00<?, ?it/s]\n 25%|██▌ | 1/4 [00:00<00:00, 8.40it/s]\n 50%|█████ | 2/4 [00:00<00:00, 8.26it/s]\n 75%|███████▌ | 3/4 [00:00<00:00, 8.19it/s]\n100%|██████████| 4/4 [00:00<00:00, 8.85it/s]\ngenerated inpaint dim: (1024, 1024)", "metrics": { "predict_time": 7.938906563, "total_time": 7.946593 }, "output": [ "https://replicate.delivery/xezq/ORecgr4XpwUnXKewbLEjUfG2C4ThIAHIqPEfWPbJ01eUdMyiC/0.png" ], "started_at": "2025-03-07T21:36:34.310686Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-lmqgybvxh6gklnmg3df2uwf5aj5xyaofakkopjkc6z44dwxc222q", "get": "https://api.replicate.com/v1/predictions/kxv6faf3zxrm80cnea4te7xsrc", "cancel": "https://api.replicate.com/v1/predictions/kxv6faf3zxrm80cnea4te7xsrc/cancel" }, "version": "dec5cf4f20575113b75337e87c52f935c23c6f56ffc57e4a1916a941c11c8d1b" }
Generated inUsing text to image mode. Using seed: 1174243022 0%| | 0/30 [00:00<?, ?it/s] 7%|▋ | 2/30 [00:00<00:02, 11.21it/s] 13%|█▎ | 4/30 [00:00<00:02, 9.20it/s] 17%|█▋ | 5/30 [00:00<00:02, 8.87it/s] 20%|██ | 6/30 [00:00<00:02, 8.65it/s] 23%|██▎ | 7/30 [00:00<00:02, 8.48it/s] 27%|██▋ | 8/30 [00:00<00:02, 8.37it/s] 30%|███ | 9/30 [00:01<00:02, 8.30it/s] 33%|███▎ | 10/30 [00:01<00:02, 8.24it/s] 37%|███▋ | 11/30 [00:01<00:02, 8.21it/s] 40%|████ | 12/30 [00:01<00:02, 8.19it/s] 43%|████▎ | 13/30 [00:01<00:02, 8.18it/s] 47%|████▋ | 14/30 [00:01<00:01, 8.17it/s] 50%|█████ | 15/30 [00:01<00:01, 8.14it/s] 53%|█████▎ | 16/30 [00:01<00:01, 8.13it/s] 57%|█████▋ | 17/30 [00:02<00:01, 8.12it/s] 60%|██████ | 18/30 [00:02<00:01, 8.12it/s] 63%|██████▎ | 19/30 [00:02<00:01, 8.11it/s] 67%|██████▋ | 20/30 [00:02<00:01, 8.12it/s] 70%|███████ | 21/30 [00:02<00:01, 8.13it/s] 73%|███████▎ | 22/30 [00:02<00:00, 8.12it/s] 77%|███████▋ | 23/30 [00:02<00:00, 8.12it/s] 80%|████████ | 24/30 [00:02<00:00, 8.13it/s] 83%|████████▎ | 25/30 [00:03<00:00, 8.11it/s] 87%|████████▋ | 26/30 [00:03<00:00, 8.10it/s] 90%|█████████ | 27/30 [00:03<00:00, 8.09it/s] 93%|█████████▎| 28/30 [00:03<00:00, 8.10it/s] 97%|█████████▋| 29/30 [00:03<00:00, 8.09it/s] 100%|██████████| 30/30 [00:03<00:00, 8.09it/s] 100%|██████████| 30/30 [00:03<00:00, 8.27it/s] Inpainting... 0: 640x640 1 face, 5.6ms Speed: 1.7ms preprocess, 5.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) padded dim: (np.int64(288), np.int64(104), np.int64(656), np.int64(579)) Loading StableDiffusionXLInpaintPipeline 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 8.40it/s] 50%|█████ | 2/4 [00:00<00:00, 8.26it/s] 75%|███████▌ | 3/4 [00:00<00:00, 8.19it/s] 100%|██████████| 4/4 [00:00<00:00, 8.85it/s] generated inpaint dim: (1024, 1024)
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