lucataco/omnigen2
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omnigen2
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lucataco/omnigen2
OmniGen2: a powerful and efficient unified multimodal model
lucataco/shiba-diffusion
Shiba stable diffusion model
lucataco/tiny-starcoder-py
bigcode/tiny_starcoder_py
lucataco/vicuna-13b-v1.3
lmsys/vicuna-13b-v1.3
lucataco/vicuna-7b-v1.3
lmsys/vicuna-7b-v1.3
lucataco/codegen2-1b
Salesforce/codegen2-1B
lucataco/xgen-7b-8k-base
Salesforce/xgen-7b-8k-base
lucataco/realistic-vision-v3.0
Realistic Vision V3.0 with VAE
lucataco/realistic-vision-v4.0
Realistic Vision V4.0
lucataco/clip-interrogator
CLIP Interrogator (for faster inference)
lucataco/wsrglow
A working wsrglow model
lucataco/rivers-stable-diffusion-upscaler
RiversHaveWings Stable Diffusion Upscaler
lucataco/real-esrgan
Real-ESRGAN with optional face correction and adjustable upscale (for larger images)
lucataco/animate-diff
Animate Your Personalized Text-to-Image Diffusion Models
lucataco/speaker-diarization
Segments an audio recording based on who is speaking (on A100)
lucataco/llama-2-7b-chat
Meta's Llama 2 7b Chat - GPTQ
lucataco/llama-2-13b-chat
Meta's Llama 2 13b Chat - GPTQ
lucataco/freewilly2
Stability AI's FreeWilly2
lucataco/realistic-vision-v5.1
Implementation of Realistic Vision v5.1 with VAE
lucataco/gfpgan
Practical face restoration algorithm for *old photos* or *AI-generated faces* (for larger images)
lucataco/sdxl
SDXL v1.0 - A text-to-image generative AI model that creates beautiful images
Prediction
lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502eIDdq4hgj1dc9rm80cqn1n88maknrStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- -1
- image
- width
- 1024
- height
- 1024
- prompt
- Change the dress to blue
- scheduler
- euler
- max_pixels
- 1048576
- cfg_range_end
- 1
- cfg_range_start
- 0
- negative_prompt
- (((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar
- num_inference_steps
- 50
- text_guidance_scale
- 5
- image_guidance_scale
- 2
- max_input_image_side_length
- 2048
{ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVLgKWVv48pYj7p8qCnKpeYDN5S46MlxYNaIEzRu03KG1xJ/yellow-dress.png", "width": 1024, "height": 1024, "prompt": "Change the dress to blue", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", { input: { seed: -1, image: "https://replicate.delivery/pbxt/NFVLgKWVv48pYj7p8qCnKpeYDN5S46MlxYNaIEzRu03KG1xJ/yellow-dress.png", width: 1024, height: 1024, prompt: "Change the dress to blue", scheduler: "euler", max_pixels: 1048576, cfg_range_end: 1, cfg_range_start: 0, negative_prompt: "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", num_inference_steps: 50, text_guidance_scale: 5, image_guidance_scale: 2, max_input_image_side_length: 2048 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", input={ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVLgKWVv48pYj7p8qCnKpeYDN5S46MlxYNaIEzRu03KG1xJ/yellow-dress.png", "width": 1024, "height": 1024, "prompt": "Change the dress to blue", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/omnigen2 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": "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVLgKWVv48pYj7p8qCnKpeYDN5S46MlxYNaIEzRu03KG1xJ/yellow-dress.png", "width": 1024, "height": 1024, "prompt": "Change the dress to blue", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-25T18:50:20.838828Z", "created_at": "2025-06-25T18:47:00.194000Z", "data_removed": false, "error": null, "id": "dq4hgj1dc9rm80cqn1n88maknr", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVLgKWVv48pYj7p8qCnKpeYDN5S46MlxYNaIEzRu03KG1xJ/yellow-dress.png", "width": 1024, "height": 1024, "prompt": "Change the dress to blue", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:05<04:53, 5.99s/it]\n 4%|▍ | 2/50 [00:07<02:42, 3.39s/it]\n 6%|▌ | 3/50 [00:09<02:03, 2.64s/it]\n 8%|▊ | 4/50 [00:11<01:44, 2.28s/it]\n 10%|█ | 5/50 [00:12<01:33, 2.08s/it]\n 12%|█▏ | 6/50 [00:14<01:26, 1.97s/it]\n 14%|█▍ | 7/50 [00:16<01:21, 1.89s/it]\n 16%|█▌ | 8/50 [00:17<01:17, 1.84s/it]\n 18%|█▊ | 9/50 [00:19<01:14, 1.81s/it]\n 20%|██ | 10/50 [00:21<01:11, 1.79s/it]\n 22%|██▏ | 11/50 [00:23<01:09, 1.78s/it]\n 24%|██▍ | 12/50 [00:24<01:07, 1.77s/it]\n 26%|██▌ | 13/50 [00:26<01:05, 1.76s/it]\n 28%|██▊ | 14/50 [00:28<01:03, 1.76s/it]\n 30%|███ | 15/50 [00:30<01:01, 1.76s/it]\n 32%|███▏ | 16/50 [00:31<00:59, 1.75s/it]\n 34%|███▍ | 17/50 [00:33<00:57, 1.75s/it]\n 36%|███▌ | 18/50 [00:35<00:56, 1.75s/it]\n 38%|███▊ | 19/50 [00:37<00:54, 1.75s/it]\n 40%|████ | 20/50 [00:38<00:52, 1.75s/it]\n 42%|████▏ | 21/50 [00:40<00:50, 1.76s/it]\n 44%|████▍ | 22/50 [00:42<00:49, 1.76s/it]\n 46%|████▌ | 23/50 [00:44<00:47, 1.76s/it]\n 48%|████▊ | 24/50 [00:46<00:45, 1.76s/it]\n 50%|█████ | 25/50 [00:47<00:44, 1.76s/it]\n 52%|█████▏ | 26/50 [00:49<00:42, 1.76s/it]\n 54%|█████▍ | 27/50 [00:51<00:40, 1.76s/it]\n 56%|█████▌ | 28/50 [00:53<00:38, 1.76s/it]\n 58%|█████▊ | 29/50 [00:54<00:37, 1.76s/it]\n 60%|██████ | 30/50 [00:56<00:35, 1.76s/it]\n 62%|██████▏ | 31/50 [00:58<00:33, 1.77s/it]\n 64%|██████▍ | 32/50 [01:00<00:31, 1.77s/it]\n 66%|██████▌ | 33/50 [01:01<00:29, 1.76s/it]\n 68%|██████▊ | 34/50 [01:03<00:28, 1.76s/it]\n 70%|███████ | 35/50 [01:05<00:26, 1.76s/it]\n 72%|███████▏ | 36/50 [01:07<00:24, 1.76s/it]\n 74%|███████▍ | 37/50 [01:08<00:22, 1.76s/it]\n 76%|███████▌ | 38/50 [01:10<00:21, 1.76s/it]\n 78%|███████▊ | 39/50 [01:12<00:19, 1.76s/it]\n 80%|████████ | 40/50 [01:14<00:17, 1.76s/it]\n 82%|████████▏ | 41/50 [01:16<00:15, 1.76s/it]\n 84%|████████▍ | 42/50 [01:17<00:14, 1.76s/it]\n 86%|████████▌ | 43/50 [01:19<00:12, 1.76s/it]\n 88%|████████▊ | 44/50 [01:21<00:10, 1.76s/it]\n 90%|█████████ | 45/50 [01:23<00:08, 1.77s/it]\n 92%|█████████▏| 46/50 [01:24<00:07, 1.77s/it]\n 94%|█████████▍| 47/50 [01:26<00:05, 1.77s/it]\n 96%|█████████▌| 48/50 [01:28<00:03, 1.77s/it]\n 98%|█████████▊| 49/50 [01:30<00:01, 1.77s/it]\n100%|██████████| 50/50 [01:31<00:00, 1.77s/it]\n100%|██████████| 50/50 [01:31<00:00, 1.84s/it]", "metrics": { "predict_time": 93.168549308, "total_time": 200.644828 }, "output": "https://replicate.delivery/xezq/LcruS1mlR0p3NtjxKRJ8YZYMY2iZE1ro7drQKlKEiUI72nOF/output.png", "started_at": "2025-06-25T18:48:47.670279Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-osa6tqhwteevseuajcjngoz2to3lwzqz2oewg5mfwituui3aeevq", "get": "https://api.replicate.com/v1/predictions/dq4hgj1dc9rm80cqn1n88maknr", "cancel": "https://api.replicate.com/v1/predictions/dq4hgj1dc9rm80cqn1n88maknr/cancel" }, "version": "5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:05<04:53, 5.99s/it] 4%|▍ | 2/50 [00:07<02:42, 3.39s/it] 6%|▌ | 3/50 [00:09<02:03, 2.64s/it] 8%|▊ | 4/50 [00:11<01:44, 2.28s/it] 10%|█ | 5/50 [00:12<01:33, 2.08s/it] 12%|█▏ | 6/50 [00:14<01:26, 1.97s/it] 14%|█▍ | 7/50 [00:16<01:21, 1.89s/it] 16%|█▌ | 8/50 [00:17<01:17, 1.84s/it] 18%|█▊ | 9/50 [00:19<01:14, 1.81s/it] 20%|██ | 10/50 [00:21<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:23<01:09, 1.78s/it] 24%|██▍ | 12/50 [00:24<01:07, 1.77s/it] 26%|██▌ | 13/50 [00:26<01:05, 1.76s/it] 28%|██▊ | 14/50 [00:28<01:03, 1.76s/it] 30%|███ | 15/50 [00:30<01:01, 1.76s/it] 32%|███▏ | 16/50 [00:31<00:59, 1.75s/it] 34%|███▍ | 17/50 [00:33<00:57, 1.75s/it] 36%|███▌ | 18/50 [00:35<00:56, 1.75s/it] 38%|███▊ | 19/50 [00:37<00:54, 1.75s/it] 40%|████ | 20/50 [00:38<00:52, 1.75s/it] 42%|████▏ | 21/50 [00:40<00:50, 1.76s/it] 44%|████▍ | 22/50 [00:42<00:49, 1.76s/it] 46%|████▌ | 23/50 [00:44<00:47, 1.76s/it] 48%|████▊ | 24/50 [00:46<00:45, 1.76s/it] 50%|█████ | 25/50 [00:47<00:44, 1.76s/it] 52%|█████▏ | 26/50 [00:49<00:42, 1.76s/it] 54%|█████▍ | 27/50 [00:51<00:40, 1.76s/it] 56%|█████▌ | 28/50 [00:53<00:38, 1.76s/it] 58%|█████▊ | 29/50 [00:54<00:37, 1.76s/it] 60%|██████ | 30/50 [00:56<00:35, 1.76s/it] 62%|██████▏ | 31/50 [00:58<00:33, 1.77s/it] 64%|██████▍ | 32/50 [01:00<00:31, 1.77s/it] 66%|██████▌ | 33/50 [01:01<00:29, 1.76s/it] 68%|██████▊ | 34/50 [01:03<00:28, 1.76s/it] 70%|███████ | 35/50 [01:05<00:26, 1.76s/it] 72%|███████▏ | 36/50 [01:07<00:24, 1.76s/it] 74%|███████▍ | 37/50 [01:08<00:22, 1.76s/it] 76%|███████▌ | 38/50 [01:10<00:21, 1.76s/it] 78%|███████▊ | 39/50 [01:12<00:19, 1.76s/it] 80%|████████ | 40/50 [01:14<00:17, 1.76s/it] 82%|████████▏ | 41/50 [01:16<00:15, 1.76s/it] 84%|████████▍ | 42/50 [01:17<00:14, 1.76s/it] 86%|████████▌ | 43/50 [01:19<00:12, 1.76s/it] 88%|████████▊ | 44/50 [01:21<00:10, 1.76s/it] 90%|█████████ | 45/50 [01:23<00:08, 1.77s/it] 92%|█████████▏| 46/50 [01:24<00:07, 1.77s/it] 94%|█████████▍| 47/50 [01:26<00:05, 1.77s/it] 96%|█████████▌| 48/50 [01:28<00:03, 1.77s/it] 98%|█████████▊| 49/50 [01:30<00:01, 1.77s/it] 100%|██████████| 50/50 [01:31<00:00, 1.77s/it] 100%|██████████| 50/50 [01:31<00:00, 1.84s/it]Prediction
lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502eIDcf85e2yvb9rmc0cqn1pv28d868StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- -1
- image
- width
- 1024
- height
- 1024
- prompt
- Generate a photo of an anime-style figurine placed on a desk. The figurine model should be based on the character photo provided in the attachment, accurately replicating the full-body pose, facial expression, and clothing style of the character in the photo, ensuring the entire figurine is fully presented. The overall design should be exquisite and detailed, soft gradient colors and a delicate texture, leaning towards a Japanese anime style, rich in details, with a realistic quality and beautiful visual appeal.
- scheduler
- euler
- max_pixels
- 1048576
- cfg_range_end
- 1
- cfg_range_start
- 0
- negative_prompt
- (((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar
- num_inference_steps
- 50
- text_guidance_scale
- 5
- image_guidance_scale
- 2
- max_input_image_side_length
- 2048
{ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVPVUbcOTItiJCJrlnVpOVJpb9IaMQF5KJNpotYouJ0vAhh/woman-gloss.JPG", "width": 1024, "height": 1024, "prompt": "Generate a photo of an anime-style figurine placed on a desk. The figurine model should be based on the character photo provided in the attachment, accurately replicating the full-body pose, facial expression, and clothing style of the character in the photo, ensuring the entire figurine is fully presented. The overall design should be exquisite and detailed, soft gradient colors and a delicate texture, leaning towards a Japanese anime style, rich in details, with a realistic quality and beautiful visual appeal.", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", { input: { seed: -1, image: "https://replicate.delivery/pbxt/NFVPVUbcOTItiJCJrlnVpOVJpb9IaMQF5KJNpotYouJ0vAhh/woman-gloss.JPG", width: 1024, height: 1024, prompt: "Generate a photo of an anime-style figurine placed on a desk. The figurine model should be based on the character photo provided in the attachment, accurately replicating the full-body pose, facial expression, and clothing style of the character in the photo, ensuring the entire figurine is fully presented. The overall design should be exquisite and detailed, soft gradient colors and a delicate texture, leaning towards a Japanese anime style, rich in details, with a realistic quality and beautiful visual appeal.", scheduler: "euler", max_pixels: 1048576, cfg_range_end: 1, cfg_range_start: 0, negative_prompt: "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", num_inference_steps: 50, text_guidance_scale: 5, image_guidance_scale: 2, max_input_image_side_length: 2048 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", input={ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVPVUbcOTItiJCJrlnVpOVJpb9IaMQF5KJNpotYouJ0vAhh/woman-gloss.JPG", "width": 1024, "height": 1024, "prompt": "Generate a photo of an anime-style figurine placed on a desk. The figurine model should be based on the character photo provided in the attachment, accurately replicating the full-body pose, facial expression, and clothing style of the character in the photo, ensuring the entire figurine is fully presented. The overall design should be exquisite and detailed, soft gradient colors and a delicate texture, leaning towards a Japanese anime style, rich in details, with a realistic quality and beautiful visual appeal.", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/omnigen2 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": "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVPVUbcOTItiJCJrlnVpOVJpb9IaMQF5KJNpotYouJ0vAhh/woman-gloss.JPG", "width": 1024, "height": 1024, "prompt": "Generate a photo of an anime-style figurine placed on a desk. The figurine model should be based on the character photo provided in the attachment, accurately replicating the full-body pose, facial expression, and clothing style of the character in the photo, ensuring the entire figurine is fully presented. The overall design should be exquisite and detailed, soft gradient colors and a delicate texture, leaning towards a Japanese anime style, rich in details, with a realistic quality and beautiful visual appeal.", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-25T18:52:31.468005Z", "created_at": "2025-06-25T18:51:01.338000Z", "data_removed": false, "error": null, "id": "cf85e2yvb9rmc0cqn1pv28d868", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVPVUbcOTItiJCJrlnVpOVJpb9IaMQF5KJNpotYouJ0vAhh/woman-gloss.JPG", "width": 1024, "height": 1024, "prompt": "Generate a photo of an anime-style figurine placed on a desk. The figurine model should be based on the character photo provided in the attachment, accurately replicating the full-body pose, facial expression, and clothing style of the character in the photo, ensuring the entire figurine is fully presented. The overall design should be exquisite and detailed, soft gradient colors and a delicate texture, leaning towards a Japanese anime style, rich in details, with a realistic quality and beautiful visual appeal.", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:26, 1.77s/it]\n 4%|▍ | 2/50 [00:03<01:20, 1.68s/it]\n 6%|▌ | 3/50 [00:05<01:20, 1.72s/it]\n 8%|▊ | 4/50 [00:06<01:20, 1.74s/it]\n 10%|█ | 5/50 [00:08<01:18, 1.75s/it]\n 12%|█▏ | 6/50 [00:10<01:17, 1.76s/it]\n 14%|█▍ | 7/50 [00:12<01:15, 1.77s/it]\n 16%|█▌ | 8/50 [00:14<01:14, 1.77s/it]\n 18%|█▊ | 9/50 [00:15<01:12, 1.77s/it]\n 20%|██ | 10/50 [00:17<01:10, 1.77s/it]\n 22%|██▏ | 11/50 [00:19<01:09, 1.78s/it]\n 24%|██▍ | 12/50 [00:21<01:07, 1.78s/it]\n 26%|██▌ | 13/50 [00:22<01:05, 1.78s/it]\n 28%|██▊ | 14/50 [00:24<01:04, 1.78s/it]\n 30%|███ | 15/50 [00:26<01:02, 1.78s/it]\n 32%|███▏ | 16/50 [00:28<01:00, 1.78s/it]\n 34%|███▍ | 17/50 [00:30<00:58, 1.78s/it]\n 36%|███▌ | 18/50 [00:31<00:57, 1.78s/it]\n 38%|███▊ | 19/50 [00:33<00:55, 1.78s/it]\n 40%|████ | 20/50 [00:35<00:53, 1.78s/it]\n 42%|████▏ | 21/50 [00:37<00:51, 1.79s/it]\n 44%|████▍ | 22/50 [00:38<00:49, 1.79s/it]\n 46%|████▌ | 23/50 [00:40<00:48, 1.79s/it]\n 48%|████▊ | 24/50 [00:42<00:46, 1.79s/it]\n 50%|█████ | 25/50 [00:44<00:44, 1.79s/it]\n 52%|█████▏ | 26/50 [00:46<00:42, 1.79s/it]\n 54%|█████▍ | 27/50 [00:47<00:41, 1.79s/it]\n 56%|█████▌ | 28/50 [00:49<00:39, 1.79s/it]\n 58%|█████▊ | 29/50 [00:51<00:37, 1.79s/it]\n 60%|██████ | 30/50 [00:53<00:35, 1.79s/it]\n 62%|██████▏ | 31/50 [00:55<00:34, 1.79s/it]\n 64%|██████▍ | 32/50 [00:56<00:32, 1.79s/it]\n 66%|██████▌ | 33/50 [00:58<00:30, 1.79s/it]\n 68%|██████▊ | 34/50 [01:00<00:28, 1.79s/it]\n 70%|███████ | 35/50 [01:02<00:26, 1.79s/it]\n 72%|███████▏ | 36/50 [01:04<00:25, 1.79s/it]\n 74%|███████▍ | 37/50 [01:05<00:23, 1.79s/it]\n 76%|███████▌ | 38/50 [01:07<00:21, 1.79s/it]\n 78%|███████▊ | 39/50 [01:09<00:19, 1.79s/it]\n 80%|████████ | 40/50 [01:11<00:17, 1.79s/it]\n 82%|████████▏ | 41/50 [01:12<00:16, 1.79s/it]\n 84%|████████▍ | 42/50 [01:14<00:14, 1.79s/it]\n 86%|████████▌ | 43/50 [01:16<00:12, 1.79s/it]\n 88%|████████▊ | 44/50 [01:18<00:10, 1.79s/it]\n 90%|█████████ | 45/50 [01:20<00:08, 1.79s/it]\n 92%|█████████▏| 46/50 [01:21<00:07, 1.79s/it]\n 94%|█████████▍| 47/50 [01:23<00:05, 1.79s/it]\n 96%|█████████▌| 48/50 [01:25<00:03, 1.79s/it]\n 98%|█████████▊| 49/50 [01:27<00:01, 1.79s/it]\n100%|██████████| 50/50 [01:29<00:00, 1.79s/it]\n100%|██████████| 50/50 [01:29<00:00, 1.78s/it]", "metrics": { "predict_time": 90.12301522, "total_time": 90.130005 }, "output": "https://replicate.delivery/xezq/WOfJLixnOrVQPCxFePfDHQO3Tl6epLe5sUuF1LT7fjLzb3nOF/output.png", "started_at": "2025-06-25T18:51:01.344990Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-6tztonwlfumukt2qo4aiimipif2oy7sw7vnxrp344uhpzk22m4hq", "get": "https://api.replicate.com/v1/predictions/cf85e2yvb9rmc0cqn1pv28d868", "cancel": "https://api.replicate.com/v1/predictions/cf85e2yvb9rmc0cqn1pv28d868/cancel" }, "version": "5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:26, 1.77s/it] 4%|▍ | 2/50 [00:03<01:20, 1.68s/it] 6%|▌ | 3/50 [00:05<01:20, 1.72s/it] 8%|▊ | 4/50 [00:06<01:20, 1.74s/it] 10%|█ | 5/50 [00:08<01:18, 1.75s/it] 12%|█▏ | 6/50 [00:10<01:17, 1.76s/it] 14%|█▍ | 7/50 [00:12<01:15, 1.77s/it] 16%|█▌ | 8/50 [00:14<01:14, 1.77s/it] 18%|█▊ | 9/50 [00:15<01:12, 1.77s/it] 20%|██ | 10/50 [00:17<01:10, 1.77s/it] 22%|██▏ | 11/50 [00:19<01:09, 1.78s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.78s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.78s/it] 28%|██▊ | 14/50 [00:24<01:04, 1.78s/it] 30%|███ | 15/50 [00:26<01:02, 1.78s/it] 32%|███▏ | 16/50 [00:28<01:00, 1.78s/it] 34%|███▍ | 17/50 [00:30<00:58, 1.78s/it] 36%|███▌ | 18/50 [00:31<00:57, 1.78s/it] 38%|███▊ | 19/50 [00:33<00:55, 1.78s/it] 40%|████ | 20/50 [00:35<00:53, 1.78s/it] 42%|████▏ | 21/50 [00:37<00:51, 1.79s/it] 44%|████▍ | 22/50 [00:38<00:49, 1.79s/it] 46%|████▌ | 23/50 [00:40<00:48, 1.79s/it] 48%|████▊ | 24/50 [00:42<00:46, 1.79s/it] 50%|█████ | 25/50 [00:44<00:44, 1.79s/it] 52%|█████▏ | 26/50 [00:46<00:42, 1.79s/it] 54%|█████▍ | 27/50 [00:47<00:41, 1.79s/it] 56%|█████▌ | 28/50 [00:49<00:39, 1.79s/it] 58%|█████▊ | 29/50 [00:51<00:37, 1.79s/it] 60%|██████ | 30/50 [00:53<00:35, 1.79s/it] 62%|██████▏ | 31/50 [00:55<00:34, 1.79s/it] 64%|██████▍ | 32/50 [00:56<00:32, 1.79s/it] 66%|██████▌ | 33/50 [00:58<00:30, 1.79s/it] 68%|██████▊ | 34/50 [01:00<00:28, 1.79s/it] 70%|███████ | 35/50 [01:02<00:26, 1.79s/it] 72%|███████▏ | 36/50 [01:04<00:25, 1.79s/it] 74%|███████▍ | 37/50 [01:05<00:23, 1.79s/it] 76%|███████▌ | 38/50 [01:07<00:21, 1.79s/it] 78%|███████▊ | 39/50 [01:09<00:19, 1.79s/it] 80%|████████ | 40/50 [01:11<00:17, 1.79s/it] 82%|████████▏ | 41/50 [01:12<00:16, 1.79s/it] 84%|████████▍ | 42/50 [01:14<00:14, 1.79s/it] 86%|████████▌ | 43/50 [01:16<00:12, 1.79s/it] 88%|████████▊ | 44/50 [01:18<00:10, 1.79s/it] 90%|█████████ | 45/50 [01:20<00:08, 1.79s/it] 92%|█████████▏| 46/50 [01:21<00:07, 1.79s/it] 94%|█████████▍| 47/50 [01:23<00:05, 1.79s/it] 96%|█████████▌| 48/50 [01:25<00:03, 1.79s/it] 98%|█████████▊| 49/50 [01:27<00:01, 1.79s/it] 100%|██████████| 50/50 [01:29<00:00, 1.79s/it] 100%|██████████| 50/50 [01:29<00:00, 1.78s/it]Prediction
lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502eIDwaxc5fkp4srm80cqn1qtqqhbncStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- -1
- image
- width
- 1024
- height
- 1024
- prompt
- make him smile
- scheduler
- euler
- max_pixels
- 1048576
- cfg_range_end
- 1
- cfg_range_start
- 0
- negative_prompt
- (((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar
- num_inference_steps
- 50
- text_guidance_scale
- 5
- image_guidance_scale
- 2
- max_input_image_side_length
- 2048
{ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVR9p4akEoTdlQBEanwi5Qg6JxpSewBiHvgvA46X1r6xYsO/man.jpg", "width": 1024, "height": 1024, "prompt": "make him smile", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", { input: { seed: -1, image: "https://replicate.delivery/pbxt/NFVR9p4akEoTdlQBEanwi5Qg6JxpSewBiHvgvA46X1r6xYsO/man.jpg", width: 1024, height: 1024, prompt: "make him smile", scheduler: "euler", max_pixels: 1048576, cfg_range_end: 1, cfg_range_start: 0, negative_prompt: "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", num_inference_steps: 50, text_guidance_scale: 5, image_guidance_scale: 2, max_input_image_side_length: 2048 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", input={ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVR9p4akEoTdlQBEanwi5Qg6JxpSewBiHvgvA46X1r6xYsO/man.jpg", "width": 1024, "height": 1024, "prompt": "make him smile", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/omnigen2 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": "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVR9p4akEoTdlQBEanwi5Qg6JxpSewBiHvgvA46X1r6xYsO/man.jpg", "width": 1024, "height": 1024, "prompt": "make him smile", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-25T18:54:15.967588Z", "created_at": "2025-06-25T18:52:46.502000Z", "data_removed": false, "error": null, "id": "waxc5fkp4srm80cqn1qtqqhbnc", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVR9p4akEoTdlQBEanwi5Qg6JxpSewBiHvgvA46X1r6xYsO/man.jpg", "width": 1024, "height": 1024, "prompt": "make him smile", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:25, 1.75s/it]\n 4%|▍ | 2/50 [00:03<01:19, 1.66s/it]\n 6%|▌ | 3/50 [00:05<01:20, 1.71s/it]\n 8%|▊ | 4/50 [00:06<01:19, 1.73s/it]\n 10%|█ | 5/50 [00:08<01:18, 1.74s/it]\n 12%|█▏ | 6/50 [00:10<01:16, 1.75s/it]\n 14%|█▍ | 7/50 [00:12<01:15, 1.75s/it]\n 16%|█▌ | 8/50 [00:13<01:13, 1.76s/it]\n 18%|█▊ | 9/50 [00:15<01:12, 1.76s/it]\n 20%|██ | 10/50 [00:17<01:10, 1.76s/it]\n 22%|██▏ | 11/50 [00:19<01:08, 1.77s/it]\n 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it]\n 26%|██▌ | 13/50 [00:22<01:05, 1.77s/it]\n 28%|██▊ | 14/50 [00:24<01:03, 1.77s/it]\n 30%|███ | 15/50 [00:26<01:01, 1.77s/it]\n 32%|███▏ | 16/50 [00:28<01:00, 1.77s/it]\n 34%|███▍ | 17/50 [00:29<00:58, 1.77s/it]\n 36%|███▌ | 18/50 [00:31<00:56, 1.77s/it]\n 38%|███▊ | 19/50 [00:33<00:54, 1.77s/it]\n 40%|████ | 20/50 [00:35<00:53, 1.77s/it]\n 42%|████▏ | 21/50 [00:36<00:51, 1.77s/it]\n 44%|████▍ | 22/50 [00:38<00:49, 1.77s/it]\n 46%|████▌ | 23/50 [00:40<00:47, 1.77s/it]\n 48%|████▊ | 24/50 [00:42<00:46, 1.77s/it]\n 50%|█████ | 25/50 [00:44<00:44, 1.77s/it]\n 52%|█████▏ | 26/50 [00:45<00:42, 1.77s/it]\n 54%|█████▍ | 27/50 [00:47<00:40, 1.77s/it]\n 56%|█████▌ | 28/50 [00:49<00:39, 1.77s/it]\n 58%|█████▊ | 29/50 [00:51<00:37, 1.77s/it]\n 60%|██████ | 30/50 [00:52<00:35, 1.78s/it]\n 62%|██████▏ | 31/50 [00:54<00:33, 1.78s/it]\n 64%|██████▍ | 32/50 [00:56<00:31, 1.78s/it]\n 66%|██████▌ | 33/50 [00:58<00:30, 1.78s/it]\n 68%|██████▊ | 34/50 [01:00<00:28, 1.78s/it]\n 70%|███████ | 35/50 [01:01<00:26, 1.78s/it]\n 72%|███████▏ | 36/50 [01:03<00:24, 1.78s/it]\n 74%|███████▍ | 37/50 [01:05<00:23, 1.78s/it]\n 76%|███████▌ | 38/50 [01:07<00:21, 1.78s/it]\n 78%|███████▊ | 39/50 [01:08<00:19, 1.78s/it]\n 80%|████████ | 40/50 [01:10<00:17, 1.78s/it]\n 82%|████████▏ | 41/50 [01:12<00:15, 1.78s/it]\n 84%|████████▍ | 42/50 [01:14<00:14, 1.78s/it]\n 86%|████████▌ | 43/50 [01:16<00:12, 1.78s/it]\n 88%|████████▊ | 44/50 [01:17<00:10, 1.78s/it]\n 90%|█████████ | 45/50 [01:19<00:08, 1.78s/it]\n 92%|█████████▏| 46/50 [01:21<00:07, 1.78s/it]\n 94%|█████████▍| 47/50 [01:23<00:05, 1.78s/it]\n 96%|█████████▌| 48/50 [01:24<00:03, 1.78s/it]\n 98%|█████████▊| 49/50 [01:26<00:01, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.77s/it]", "metrics": { "predict_time": 89.454406565, "total_time": 89.465588 }, "output": "https://replicate.delivery/xezq/f9OPLzyIyUyvYy7mAb00Yt5ryyHpTNBoj8SKzQPC31fXfepTB/output.png", "started_at": "2025-06-25T18:52:46.513181Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-bmoqlvjkrwwmgatrc44qrqfxlna6bldgu23gatik2riyudgdxria", "get": "https://api.replicate.com/v1/predictions/waxc5fkp4srm80cqn1qtqqhbnc", "cancel": "https://api.replicate.com/v1/predictions/waxc5fkp4srm80cqn1qtqqhbnc/cancel" }, "version": "5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:25, 1.75s/it] 4%|▍ | 2/50 [00:03<01:19, 1.66s/it] 6%|▌ | 3/50 [00:05<01:20, 1.71s/it] 8%|▊ | 4/50 [00:06<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:18, 1.74s/it] 12%|█▏ | 6/50 [00:10<01:16, 1.75s/it] 14%|█▍ | 7/50 [00:12<01:15, 1.75s/it] 16%|█▌ | 8/50 [00:13<01:13, 1.76s/it] 18%|█▊ | 9/50 [00:15<01:12, 1.76s/it] 20%|██ | 10/50 [00:17<01:10, 1.76s/it] 22%|██▏ | 11/50 [00:19<01:08, 1.77s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.77s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.77s/it] 30%|███ | 15/50 [00:26<01:01, 1.77s/it] 32%|███▏ | 16/50 [00:28<01:00, 1.77s/it] 34%|███▍ | 17/50 [00:29<00:58, 1.77s/it] 36%|███▌ | 18/50 [00:31<00:56, 1.77s/it] 38%|███▊ | 19/50 [00:33<00:54, 1.77s/it] 40%|████ | 20/50 [00:35<00:53, 1.77s/it] 42%|████▏ | 21/50 [00:36<00:51, 1.77s/it] 44%|████▍ | 22/50 [00:38<00:49, 1.77s/it] 46%|████▌ | 23/50 [00:40<00:47, 1.77s/it] 48%|████▊ | 24/50 [00:42<00:46, 1.77s/it] 50%|█████ | 25/50 [00:44<00:44, 1.77s/it] 52%|█████▏ | 26/50 [00:45<00:42, 1.77s/it] 54%|█████▍ | 27/50 [00:47<00:40, 1.77s/it] 56%|█████▌ | 28/50 [00:49<00:39, 1.77s/it] 58%|█████▊ | 29/50 [00:51<00:37, 1.77s/it] 60%|██████ | 30/50 [00:52<00:35, 1.78s/it] 62%|██████▏ | 31/50 [00:54<00:33, 1.78s/it] 64%|██████▍ | 32/50 [00:56<00:31, 1.78s/it] 66%|██████▌ | 33/50 [00:58<00:30, 1.78s/it] 68%|██████▊ | 34/50 [01:00<00:28, 1.78s/it] 70%|███████ | 35/50 [01:01<00:26, 1.78s/it] 72%|███████▏ | 36/50 [01:03<00:24, 1.78s/it] 74%|███████▍ | 37/50 [01:05<00:23, 1.78s/it] 76%|███████▌ | 38/50 [01:07<00:21, 1.78s/it] 78%|███████▊ | 39/50 [01:08<00:19, 1.78s/it] 80%|████████ | 40/50 [01:10<00:17, 1.78s/it] 82%|████████▏ | 41/50 [01:12<00:15, 1.78s/it] 84%|████████▍ | 42/50 [01:14<00:14, 1.78s/it] 86%|████████▌ | 43/50 [01:16<00:12, 1.78s/it] 88%|████████▊ | 44/50 [01:17<00:10, 1.78s/it] 90%|█████████ | 45/50 [01:19<00:08, 1.78s/it] 92%|█████████▏| 46/50 [01:21<00:07, 1.78s/it] 94%|█████████▍| 47/50 [01:23<00:05, 1.78s/it] 96%|█████████▌| 48/50 [01:24<00:03, 1.78s/it] 98%|█████████▊| 49/50 [01:26<00:01, 1.78s/it] 100%|██████████| 50/50 [01:28<00:00, 1.78s/it] 100%|██████████| 50/50 [01:28<00:00, 1.77s/it]Prediction
lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502eIDqhxhpa47j9rme0cqn1ssee1qq8StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- -1
- image
- width
- 1024
- height
- 1024
- prompt
- Add a straw hat to the woman's head
- scheduler
- euler
- max_pixels
- 1048576
- cfg_range_end
- 1
- cfg_range_start
- 0
- negative_prompt
- (((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar
- num_inference_steps
- 50
- text_guidance_scale
- 5
- image_guidance_scale
- 2
- max_input_image_side_length
- 2048
{ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVTnhnaQuj6AHmgtgS1X6TpHAolhS1oo9Rka4AvNyJgacVp/woman-field.png", "width": 1024, "height": 1024, "prompt": "Add a straw hat to the woman's head", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", { input: { seed: -1, image: "https://replicate.delivery/pbxt/NFVTnhnaQuj6AHmgtgS1X6TpHAolhS1oo9Rka4AvNyJgacVp/woman-field.png", width: 1024, height: 1024, prompt: "Add a straw hat to the woman's head", scheduler: "euler", max_pixels: 1048576, cfg_range_end: 1, cfg_range_start: 0, negative_prompt: "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", num_inference_steps: 50, text_guidance_scale: 5, image_guidance_scale: 2, max_input_image_side_length: 2048 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", input={ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVTnhnaQuj6AHmgtgS1X6TpHAolhS1oo9Rka4AvNyJgacVp/woman-field.png", "width": 1024, "height": 1024, "prompt": "Add a straw hat to the woman's head", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/omnigen2 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": "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVTnhnaQuj6AHmgtgS1X6TpHAolhS1oo9Rka4AvNyJgacVp/woman-field.png", "width": 1024, "height": 1024, "prompt": "Add a straw hat to the woman\'s head", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-25T18:58:42.660590Z", "created_at": "2025-06-25T18:57:13.106000Z", "data_removed": false, "error": null, "id": "qhxhpa47j9rme0cqn1ssee1qq8", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVTnhnaQuj6AHmgtgS1X6TpHAolhS1oo9Rka4AvNyJgacVp/woman-field.png", "width": 1024, "height": 1024, "prompt": "Add a straw hat to the woman's head", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:26, 1.76s/it]\n 4%|▍ | 2/50 [00:03<01:19, 1.67s/it]\n 6%|▌ | 3/50 [00:05<01:20, 1.71s/it]\n 8%|▊ | 4/50 [00:06<01:19, 1.73s/it]\n 10%|█ | 5/50 [00:08<01:18, 1.74s/it]\n 12%|█▏ | 6/50 [00:10<01:17, 1.75s/it]\n 14%|█▍ | 7/50 [00:12<01:15, 1.76s/it]\n 16%|█▌ | 8/50 [00:13<01:13, 1.76s/it]\n 18%|█▊ | 9/50 [00:15<01:12, 1.76s/it]\n 20%|██ | 10/50 [00:17<01:10, 1.76s/it]\n 22%|██▏ | 11/50 [00:19<01:08, 1.76s/it]\n 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it]\n 26%|██▌ | 13/50 [00:22<01:05, 1.77s/it]\n 28%|██▊ | 14/50 [00:24<01:03, 1.77s/it]\n 30%|███ | 15/50 [00:26<01:01, 1.77s/it]\n 32%|███▏ | 16/50 [00:28<01:00, 1.77s/it]\n 34%|███▍ | 17/50 [00:29<00:58, 1.77s/it]\n 36%|███▌ | 18/50 [00:31<00:56, 1.77s/it]\n 38%|███▊ | 19/50 [00:33<00:54, 1.77s/it]\n 40%|████ | 20/50 [00:35<00:53, 1.77s/it]\n 42%|████▏ | 21/50 [00:36<00:51, 1.77s/it]\n 44%|████▍ | 22/50 [00:38<00:49, 1.77s/it]\n 46%|████▌ | 23/50 [00:40<00:47, 1.77s/it]\n 48%|████▊ | 24/50 [00:42<00:46, 1.77s/it]\n 50%|█████ | 25/50 [00:44<00:44, 1.77s/it]\n 52%|█████▏ | 26/50 [00:45<00:42, 1.77s/it]\n 54%|█████▍ | 27/50 [00:47<00:40, 1.77s/it]\n 56%|█████▌ | 28/50 [00:49<00:39, 1.77s/it]\n 58%|█████▊ | 29/50 [00:51<00:37, 1.77s/it]\n 60%|██████ | 30/50 [00:52<00:35, 1.77s/it]\n 62%|██████▏ | 31/50 [00:54<00:33, 1.78s/it]\n 64%|██████▍ | 32/50 [00:56<00:31, 1.78s/it]\n 66%|██████▌ | 33/50 [00:58<00:30, 1.78s/it]\n 68%|██████▊ | 34/50 [01:00<00:28, 1.78s/it]\n 70%|███████ | 35/50 [01:01<00:26, 1.78s/it]\n 72%|███████▏ | 36/50 [01:03<00:24, 1.78s/it]\n 74%|███████▍ | 37/50 [01:05<00:23, 1.78s/it]\n 76%|███████▌ | 38/50 [01:07<00:21, 1.78s/it]\n 78%|███████▊ | 39/50 [01:08<00:19, 1.78s/it]\n 80%|████████ | 40/50 [01:10<00:17, 1.78s/it]\n 82%|████████▏ | 41/50 [01:12<00:15, 1.78s/it]\n 84%|████████▍ | 42/50 [01:14<00:14, 1.78s/it]\n 86%|████████▌ | 43/50 [01:16<00:12, 1.78s/it]\n 88%|████████▊ | 44/50 [01:17<00:10, 1.78s/it]\n 90%|█████████ | 45/50 [01:19<00:08, 1.78s/it]\n 92%|█████████▏| 46/50 [01:21<00:07, 1.78s/it]\n 94%|█████████▍| 47/50 [01:23<00:05, 1.78s/it]\n 96%|█████████▌| 48/50 [01:24<00:03, 1.78s/it]\n 98%|█████████▊| 49/50 [01:26<00:01, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.77s/it]", "metrics": { "predict_time": 89.546186564, "total_time": 89.55459 }, "output": "https://replicate.delivery/xezq/COeCHIGVYGx4ZKUGSH139wn3UVKdyooSun3y5FMOCmCxxPdKA/output.png", "started_at": "2025-06-25T18:57:13.114403Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-37obanuagoitssp7aau6lgkstcyzufhudxmqjtshmzby4dplhlua", "get": "https://api.replicate.com/v1/predictions/qhxhpa47j9rme0cqn1ssee1qq8", "cancel": "https://api.replicate.com/v1/predictions/qhxhpa47j9rme0cqn1ssee1qq8/cancel" }, "version": "5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:26, 1.76s/it] 4%|▍ | 2/50 [00:03<01:19, 1.67s/it] 6%|▌ | 3/50 [00:05<01:20, 1.71s/it] 8%|▊ | 4/50 [00:06<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:18, 1.74s/it] 12%|█▏ | 6/50 [00:10<01:17, 1.75s/it] 14%|█▍ | 7/50 [00:12<01:15, 1.76s/it] 16%|█▌ | 8/50 [00:13<01:13, 1.76s/it] 18%|█▊ | 9/50 [00:15<01:12, 1.76s/it] 20%|██ | 10/50 [00:17<01:10, 1.76s/it] 22%|██▏ | 11/50 [00:19<01:08, 1.76s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.77s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.77s/it] 30%|███ | 15/50 [00:26<01:01, 1.77s/it] 32%|███▏ | 16/50 [00:28<01:00, 1.77s/it] 34%|███▍ | 17/50 [00:29<00:58, 1.77s/it] 36%|███▌ | 18/50 [00:31<00:56, 1.77s/it] 38%|███▊ | 19/50 [00:33<00:54, 1.77s/it] 40%|████ | 20/50 [00:35<00:53, 1.77s/it] 42%|████▏ | 21/50 [00:36<00:51, 1.77s/it] 44%|████▍ | 22/50 [00:38<00:49, 1.77s/it] 46%|████▌ | 23/50 [00:40<00:47, 1.77s/it] 48%|████▊ | 24/50 [00:42<00:46, 1.77s/it] 50%|█████ | 25/50 [00:44<00:44, 1.77s/it] 52%|█████▏ | 26/50 [00:45<00:42, 1.77s/it] 54%|█████▍ | 27/50 [00:47<00:40, 1.77s/it] 56%|█████▌ | 28/50 [00:49<00:39, 1.77s/it] 58%|█████▊ | 29/50 [00:51<00:37, 1.77s/it] 60%|██████ | 30/50 [00:52<00:35, 1.77s/it] 62%|██████▏ | 31/50 [00:54<00:33, 1.78s/it] 64%|██████▍ | 32/50 [00:56<00:31, 1.78s/it] 66%|██████▌ | 33/50 [00:58<00:30, 1.78s/it] 68%|██████▊ | 34/50 [01:00<00:28, 1.78s/it] 70%|███████ | 35/50 [01:01<00:26, 1.78s/it] 72%|███████▏ | 36/50 [01:03<00:24, 1.78s/it] 74%|███████▍ | 37/50 [01:05<00:23, 1.78s/it] 76%|███████▌ | 38/50 [01:07<00:21, 1.78s/it] 78%|███████▊ | 39/50 [01:08<00:19, 1.78s/it] 80%|████████ | 40/50 [01:10<00:17, 1.78s/it] 82%|████████▏ | 41/50 [01:12<00:15, 1.78s/it] 84%|████████▍ | 42/50 [01:14<00:14, 1.78s/it] 86%|████████▌ | 43/50 [01:16<00:12, 1.78s/it] 88%|████████▊ | 44/50 [01:17<00:10, 1.78s/it] 90%|█████████ | 45/50 [01:19<00:08, 1.78s/it] 92%|█████████▏| 46/50 [01:21<00:07, 1.78s/it] 94%|█████████▍| 47/50 [01:23<00:05, 1.78s/it] 96%|█████████▌| 48/50 [01:24<00:03, 1.78s/it] 98%|█████████▊| 49/50 [01:26<00:01, 1.78s/it] 100%|██████████| 50/50 [01:28<00:00, 1.78s/it] 100%|██████████| 50/50 [01:28<00:00, 1.77s/it]Prediction
lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502eID6pr3ztrjkxrm80cqn1wvnh2egcStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- -1
- image
- width
- 1024
- height
- 1024
- prompt
- replace the sword with a hammer
- scheduler
- euler
- max_pixels
- 1048576
- cfg_range_end
- 1
- cfg_range_start
- 0
- negative_prompt
- (((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar
- num_inference_steps
- 50
- text_guidance_scale
- 5
- image_guidance_scale
- 2
- max_input_image_side_length
- 2048
{ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVZYQi8xmHzWy2wH0FYGoIC366rDdXNvvh8hqBPPG6Kx69f/game-character.png", "width": 1024, "height": 1024, "prompt": " replace the sword with a hammer", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", { input: { seed: -1, image: "https://replicate.delivery/pbxt/NFVZYQi8xmHzWy2wH0FYGoIC366rDdXNvvh8hqBPPG6Kx69f/game-character.png", width: 1024, height: 1024, prompt: " replace the sword with a hammer", scheduler: "euler", max_pixels: 1048576, cfg_range_end: 1, cfg_range_start: 0, negative_prompt: "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", num_inference_steps: 50, text_guidance_scale: 5, image_guidance_scale: 2, max_input_image_side_length: 2048 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", input={ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVZYQi8xmHzWy2wH0FYGoIC366rDdXNvvh8hqBPPG6Kx69f/game-character.png", "width": 1024, "height": 1024, "prompt": " replace the sword with a hammer", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/omnigen2 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": "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVZYQi8xmHzWy2wH0FYGoIC366rDdXNvvh8hqBPPG6Kx69f/game-character.png", "width": 1024, "height": 1024, "prompt": " replace the sword with a hammer", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-25T19:04:46.115672Z", "created_at": "2025-06-25T19:03:16.383000Z", "data_removed": false, "error": null, "id": "6pr3ztrjkxrm80cqn1wvnh2egc", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVZYQi8xmHzWy2wH0FYGoIC366rDdXNvvh8hqBPPG6Kx69f/game-character.png", "width": 1024, "height": 1024, "prompt": " replace the sword with a hammer", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:26, 1.76s/it]\n 4%|▍ | 2/50 [00:03<01:20, 1.67s/it]\n 6%|▌ | 3/50 [00:05<01:20, 1.71s/it]\n 8%|▊ | 4/50 [00:06<01:19, 1.73s/it]\n 10%|█ | 5/50 [00:08<01:18, 1.75s/it]\n 12%|█▏ | 6/50 [00:10<01:17, 1.75s/it]\n 14%|█▍ | 7/50 [00:12<01:15, 1.76s/it]\n 16%|█▌ | 8/50 [00:13<01:14, 1.76s/it]\n 18%|█▊ | 9/50 [00:15<01:12, 1.77s/it]\n 20%|██ | 10/50 [00:17<01:10, 1.77s/it]\n 22%|██▏ | 11/50 [00:19<01:09, 1.77s/it]\n 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it]\n 26%|██▌ | 13/50 [00:22<01:05, 1.77s/it]\n 28%|██▊ | 14/50 [00:24<01:03, 1.77s/it]\n 30%|███ | 15/50 [00:26<01:02, 1.77s/it]\n 32%|███▏ | 16/50 [00:28<01:00, 1.77s/it]\n 34%|███▍ | 17/50 [00:29<00:58, 1.78s/it]\n 36%|███▌ | 18/50 [00:31<00:56, 1.77s/it]\n 38%|███▊ | 19/50 [00:33<00:55, 1.78s/it]\n 40%|████ | 20/50 [00:35<00:53, 1.77s/it]\n 42%|████▏ | 21/50 [00:37<00:51, 1.78s/it]\n 44%|████▍ | 22/50 [00:38<00:49, 1.78s/it]\n 46%|████▌ | 23/50 [00:40<00:47, 1.78s/it]\n 48%|████▊ | 24/50 [00:42<00:46, 1.78s/it]\n 50%|█████ | 25/50 [00:44<00:44, 1.78s/it]\n 52%|█████▏ | 26/50 [00:45<00:42, 1.78s/it]\n 54%|█████▍ | 27/50 [00:47<00:40, 1.78s/it]\n 56%|█████▌ | 28/50 [00:49<00:39, 1.78s/it]\n 58%|█████▊ | 29/50 [00:51<00:37, 1.78s/it]\n 60%|██████ | 30/50 [00:53<00:35, 1.78s/it]\n 62%|██████▏ | 31/50 [00:54<00:33, 1.78s/it]\n 64%|██████▍ | 32/50 [00:56<00:31, 1.78s/it]\n 66%|██████▌ | 33/50 [00:58<00:30, 1.78s/it]\n 68%|██████▊ | 34/50 [01:00<00:28, 1.78s/it]\n 70%|███████ | 35/50 [01:01<00:26, 1.78s/it]\n 72%|███████▏ | 36/50 [01:03<00:24, 1.78s/it]\n 74%|███████▍ | 37/50 [01:05<00:23, 1.78s/it]\n 76%|███████▌ | 38/50 [01:07<00:21, 1.78s/it]\n 78%|███████▊ | 39/50 [01:09<00:19, 1.78s/it]\n 80%|████████ | 40/50 [01:10<00:17, 1.78s/it]\n 82%|████████▏ | 41/50 [01:12<00:16, 1.78s/it]\n 84%|████████▍ | 42/50 [01:14<00:14, 1.78s/it]\n 86%|████████▌ | 43/50 [01:16<00:12, 1.78s/it]\n 88%|████████▊ | 44/50 [01:17<00:10, 1.78s/it]\n 90%|█████████ | 45/50 [01:19<00:08, 1.78s/it]\n 92%|█████████▏| 46/50 [01:21<00:07, 1.78s/it]\n 94%|█████████▍| 47/50 [01:23<00:05, 1.78s/it]\n 96%|█████████▌| 48/50 [01:25<00:03, 1.78s/it]\n 98%|█████████▊| 49/50 [01:26<00:01, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.77s/it]", "metrics": { "predict_time": 89.724441757, "total_time": 89.732672 }, "output": "https://replicate.delivery/xezq/4WJWQ1GuJhKSHtBYUOdQdec2GNaejBnffAXU1vVWDu85keTnC/output.png", "started_at": "2025-06-25T19:03:16.391231Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-fxow6wbupwti6cte24hprgygrftj7fsa4s4nrc2vau6vhdsik7uq", "get": "https://api.replicate.com/v1/predictions/6pr3ztrjkxrm80cqn1wvnh2egc", "cancel": "https://api.replicate.com/v1/predictions/6pr3ztrjkxrm80cqn1wvnh2egc/cancel" }, "version": "5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:26, 1.76s/it] 4%|▍ | 2/50 [00:03<01:20, 1.67s/it] 6%|▌ | 3/50 [00:05<01:20, 1.71s/it] 8%|▊ | 4/50 [00:06<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:18, 1.75s/it] 12%|█▏ | 6/50 [00:10<01:17, 1.75s/it] 14%|█▍ | 7/50 [00:12<01:15, 1.76s/it] 16%|█▌ | 8/50 [00:13<01:14, 1.76s/it] 18%|█▊ | 9/50 [00:15<01:12, 1.77s/it] 20%|██ | 10/50 [00:17<01:10, 1.77s/it] 22%|██▏ | 11/50 [00:19<01:09, 1.77s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.77s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.77s/it] 30%|███ | 15/50 [00:26<01:02, 1.77s/it] 32%|███▏ | 16/50 [00:28<01:00, 1.77s/it] 34%|███▍ | 17/50 [00:29<00:58, 1.78s/it] 36%|███▌ | 18/50 [00:31<00:56, 1.77s/it] 38%|███▊ | 19/50 [00:33<00:55, 1.78s/it] 40%|████ | 20/50 [00:35<00:53, 1.77s/it] 42%|████▏ | 21/50 [00:37<00:51, 1.78s/it] 44%|████▍ | 22/50 [00:38<00:49, 1.78s/it] 46%|████▌ | 23/50 [00:40<00:47, 1.78s/it] 48%|████▊ | 24/50 [00:42<00:46, 1.78s/it] 50%|█████ | 25/50 [00:44<00:44, 1.78s/it] 52%|█████▏ | 26/50 [00:45<00:42, 1.78s/it] 54%|█████▍ | 27/50 [00:47<00:40, 1.78s/it] 56%|█████▌ | 28/50 [00:49<00:39, 1.78s/it] 58%|█████▊ | 29/50 [00:51<00:37, 1.78s/it] 60%|██████ | 30/50 [00:53<00:35, 1.78s/it] 62%|██████▏ | 31/50 [00:54<00:33, 1.78s/it] 64%|██████▍ | 32/50 [00:56<00:31, 1.78s/it] 66%|██████▌ | 33/50 [00:58<00:30, 1.78s/it] 68%|██████▊ | 34/50 [01:00<00:28, 1.78s/it] 70%|███████ | 35/50 [01:01<00:26, 1.78s/it] 72%|███████▏ | 36/50 [01:03<00:24, 1.78s/it] 74%|███████▍ | 37/50 [01:05<00:23, 1.78s/it] 76%|███████▌ | 38/50 [01:07<00:21, 1.78s/it] 78%|███████▊ | 39/50 [01:09<00:19, 1.78s/it] 80%|████████ | 40/50 [01:10<00:17, 1.78s/it] 82%|████████▏ | 41/50 [01:12<00:16, 1.78s/it] 84%|████████▍ | 42/50 [01:14<00:14, 1.78s/it] 86%|████████▌ | 43/50 [01:16<00:12, 1.78s/it] 88%|████████▊ | 44/50 [01:17<00:10, 1.78s/it] 90%|█████████ | 45/50 [01:19<00:08, 1.78s/it] 92%|█████████▏| 46/50 [01:21<00:07, 1.78s/it] 94%|█████████▍| 47/50 [01:23<00:05, 1.78s/it] 96%|█████████▌| 48/50 [01:25<00:03, 1.78s/it] 98%|█████████▊| 49/50 [01:26<00:01, 1.78s/it] 100%|██████████| 50/50 [01:28<00:00, 1.78s/it] 100%|██████████| 50/50 [01:28<00:00, 1.77s/it]Prediction
lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502eID026kfreed5rmc0cqn1x9zvkxtrStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- -1
- image
- width
- 1024
- height
- 1024
- prompt
- Extract the character from the picture and fill the rest of the background with white
- scheduler
- euler
- max_pixels
- 1048576
- cfg_range_end
- 1
- cfg_range_start
- 0
- negative_prompt
- (((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar
- num_inference_steps
- 50
- text_guidance_scale
- 5
- image_guidance_scale
- 2
- max_input_image_side_length
- 2048
{ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVcsyiluPUsH7EKQbYlhvrEX5TvqRKpi9TWEuN66BSLSAFS/anime-maid.png", "width": 1024, "height": 1024, "prompt": "Extract the character from the picture and fill the rest of the background with white", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", { input: { seed: -1, image: "https://replicate.delivery/pbxt/NFVcsyiluPUsH7EKQbYlhvrEX5TvqRKpi9TWEuN66BSLSAFS/anime-maid.png", width: 1024, height: 1024, prompt: "Extract the character from the picture and fill the rest of the background with white", scheduler: "euler", max_pixels: 1048576, cfg_range_end: 1, cfg_range_start: 0, negative_prompt: "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", num_inference_steps: 50, text_guidance_scale: 5, image_guidance_scale: 2, max_input_image_side_length: 2048 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", input={ "seed": -1, "image": "https://replicate.delivery/pbxt/NFVcsyiluPUsH7EKQbYlhvrEX5TvqRKpi9TWEuN66BSLSAFS/anime-maid.png", "width": 1024, "height": 1024, "prompt": "Extract the character from the picture and fill the rest of the background with white", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/omnigen2 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": "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVcsyiluPUsH7EKQbYlhvrEX5TvqRKpi9TWEuN66BSLSAFS/anime-maid.png", "width": 1024, "height": 1024, "prompt": "Extract the character from the picture and fill the rest of the background with white", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-25T19:06:39.276396Z", "created_at": "2025-06-25T19:05:09.993000Z", "data_removed": false, "error": null, "id": "026kfreed5rmc0cqn1x9zvkxtr", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFVcsyiluPUsH7EKQbYlhvrEX5TvqRKpi9TWEuN66BSLSAFS/anime-maid.png", "width": 1024, "height": 1024, "prompt": "Extract the character from the picture and fill the rest of the background with white", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:26, 1.76s/it]\n 4%|▍ | 2/50 [00:03<01:19, 1.66s/it]\n 6%|▌ | 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54%|█████▍ | 27/50 [00:47<00:40, 1.78s/it]\n 56%|█████▌ | 28/50 [00:49<00:39, 1.78s/it]\n 58%|█████▊ | 29/50 [00:51<00:37, 1.78s/it]\n 60%|██████ | 30/50 [00:52<00:35, 1.78s/it]\n 62%|██████▏ | 31/50 [00:54<00:33, 1.78s/it]\n 64%|██████▍ | 32/50 [00:56<00:31, 1.78s/it]\n 66%|██████▌ | 33/50 [00:58<00:30, 1.78s/it]\n 68%|██████▊ | 34/50 [01:00<00:28, 1.78s/it]\n 70%|███████ | 35/50 [01:01<00:26, 1.78s/it]\n 72%|███████▏ | 36/50 [01:03<00:24, 1.78s/it]\n 74%|███████▍ | 37/50 [01:05<00:23, 1.78s/it]\n 76%|███████▌ | 38/50 [01:07<00:21, 1.78s/it]\n 78%|███████▊ | 39/50 [01:08<00:19, 1.78s/it]\n 80%|████████ | 40/50 [01:10<00:17, 1.78s/it]\n 82%|████████▏ | 41/50 [01:12<00:16, 1.78s/it]\n 84%|████████▍ | 42/50 [01:14<00:14, 1.78s/it]\n 86%|████████▌ | 43/50 [01:16<00:12, 1.78s/it]\n 88%|████████▊ | 44/50 [01:17<00:10, 1.78s/it]\n 90%|█████████ | 45/50 [01:19<00:08, 1.78s/it]\n 92%|█████████▏| 46/50 [01:21<00:07, 1.78s/it]\n 94%|█████████▍| 47/50 [01:23<00:05, 1.78s/it]\n 96%|█████████▌| 48/50 [01:24<00:03, 1.78s/it]\n 98%|█████████▊| 49/50 [01:26<00:01, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.78s/it]\n100%|██████████| 50/50 [01:28<00:00, 1.77s/it]", "metrics": { "predict_time": 89.276458055, "total_time": 89.283396 }, "output": "https://replicate.delivery/xezq/2TWpUkHVeGWzeEUhZcY2vnksehlQI8faD2ElEPGr4ecev6nOF/output.png", "started_at": "2025-06-25T19:05:09.999938Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-cow3k3ihygjz4gghfve4orfu5ra6torchw446onuoiujwpb3ep2a", "get": "https://api.replicate.com/v1/predictions/026kfreed5rmc0cqn1x9zvkxtr", "cancel": "https://api.replicate.com/v1/predictions/026kfreed5rmc0cqn1x9zvkxtr/cancel" }, "version": "5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:26, 1.76s/it] 4%|▍ | 2/50 [00:03<01:19, 1.66s/it] 6%|▌ | 3/50 [00:05<01:20, 1.71s/it] 8%|▊ | 4/50 [00:06<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:18, 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lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502eIDvzm2zh9krsrm80cqn2dtvve9ycStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- -1
- image
- width
- 1024
- height
- 1024
- prompt
- Have the woman in image 1 hold the toy from image 2 in a parking lot
- image_2
- scheduler
- euler
- max_pixels
- 1048576
- cfg_range_end
- 1
- cfg_range_start
- 0
- negative_prompt
- (((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar
- num_inference_steps
- 50
- text_guidance_scale
- 5
- image_guidance_scale
- 2
- max_input_image_side_length
- 2048
{ "seed": -1, "image": "https://replicate.delivery/pbxt/NFWAPnaQncexIZvj8jiMcfbfSPzmSppKextJ2y1RORp3GkCO/woman-phone.jpg", "width": 1024, "height": 1024, "prompt": "Have the woman in image 1 hold the toy from image 2 in a parking lot", "image_2": "https://replicate.delivery/pbxt/NFWAQ4XlfvP1hivIuuWqm2krzyEgE2LOUZM6LrC9bJhrp9nJ/red-toy.jpg", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", { input: { seed: -1, image: "https://replicate.delivery/pbxt/NFWAPnaQncexIZvj8jiMcfbfSPzmSppKextJ2y1RORp3GkCO/woman-phone.jpg", width: 1024, height: 1024, prompt: "Have the woman in image 1 hold the toy from image 2 in a parking lot", image_2: "https://replicate.delivery/pbxt/NFWAQ4XlfvP1hivIuuWqm2krzyEgE2LOUZM6LrC9bJhrp9nJ/red-toy.jpg", scheduler: "euler", max_pixels: 1048576, cfg_range_end: 1, cfg_range_start: 0, negative_prompt: "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", num_inference_steps: 50, text_guidance_scale: 5, image_guidance_scale: 2, max_input_image_side_length: 2048 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/omnigen2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", input={ "seed": -1, "image": "https://replicate.delivery/pbxt/NFWAPnaQncexIZvj8jiMcfbfSPzmSppKextJ2y1RORp3GkCO/woman-phone.jpg", "width": 1024, "height": 1024, "prompt": "Have the woman in image 1 hold the toy from image 2 in a parking lot", "image_2": "https://replicate.delivery/pbxt/NFWAQ4XlfvP1hivIuuWqm2krzyEgE2LOUZM6LrC9bJhrp9nJ/red-toy.jpg", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/omnigen2 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": "lucataco/omnigen2:5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFWAPnaQncexIZvj8jiMcfbfSPzmSppKextJ2y1RORp3GkCO/woman-phone.jpg", "width": 1024, "height": 1024, "prompt": "Have the woman in image 1 hold the toy from image 2 in a parking lot", "image_2": "https://replicate.delivery/pbxt/NFWAQ4XlfvP1hivIuuWqm2krzyEgE2LOUZM6LrC9bJhrp9nJ/red-toy.jpg", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-25T19:43:03.077335Z", "created_at": "2025-06-25T19:40:33.094000Z", "data_removed": false, "error": null, "id": "vzm2zh9krsrm80cqn2dtvve9yc", "input": { "seed": -1, "image": "https://replicate.delivery/pbxt/NFWAPnaQncexIZvj8jiMcfbfSPzmSppKextJ2y1RORp3GkCO/woman-phone.jpg", "width": 1024, "height": 1024, "prompt": "Have the woman in image 1 hold the toy from image 2 in a parking lot", "image_2": "https://replicate.delivery/pbxt/NFWAQ4XlfvP1hivIuuWqm2krzyEgE2LOUZM6LrC9bJhrp9nJ/red-toy.jpg", "scheduler": "euler", "max_pixels": 1048576, "cfg_range_end": 1, "cfg_range_start": 0, "negative_prompt": "(((deformed))), blurry, over saturation, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar", "num_inference_steps": 50, "text_guidance_scale": 5, "image_guidance_scale": 2, "max_input_image_side_length": 2048 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:02<02:25, 2.97s/it]\n 4%|▍ | 2/50 [00:05<02:18, 2.88s/it]\n 6%|▌ | 3/50 [00:08<02:17, 2.93s/it]\n 8%|▊ | 4/50 [00:11<02:15, 2.95s/it]\n 10%|█ | 5/50 [00:14<02:13, 2.96s/it]\n 12%|█▏ | 6/50 [00:17<02:10, 2.97s/it]\n 14%|█▍ | 7/50 [00:20<02:07, 2.97s/it]\n 16%|█▌ | 8/50 [00:23<02:04, 2.97s/it]\n 18%|█▊ | 9/50 [00:26<02:01, 2.97s/it]\n 20%|██ | 10/50 [00:29<01:59, 2.98s/it]\n 22%|██▏ | 11/50 [00:32<01:56, 2.98s/it]\n 24%|██▍ | 12/50 [00:35<01:53, 2.98s/it]\n 26%|██▌ | 13/50 [00:38<01:50, 2.98s/it]\n 28%|██▊ | 14/50 [00:41<01:47, 2.98s/it]\n 30%|███ | 15/50 [00:44<01:44, 2.98s/it]\n 32%|███▏ | 16/50 [00:47<01:41, 2.98s/it]\n 34%|███▍ | 17/50 [00:50<01:38, 2.98s/it]\n 36%|███▌ | 18/50 [00:53<01:35, 2.98s/it]\n 38%|███▊ | 19/50 [00:56<01:32, 2.98s/it]\n 40%|████ | 20/50 [00:59<01:29, 2.98s/it]\n 42%|████▏ | 21/50 [01:02<01:26, 2.98s/it]\n 44%|████▍ | 22/50 [01:05<01:23, 2.98s/it]\n 46%|████▌ | 23/50 [01:08<01:20, 2.98s/it]\n 48%|████▊ | 24/50 [01:11<01:17, 2.98s/it]\n 50%|█████ | 25/50 [01:14<01:14, 2.98s/it]\n 52%|█████▏ | 26/50 [01:17<01:11, 2.98s/it]\n 54%|█████▍ | 27/50 [01:20<01:08, 2.98s/it]\n 56%|█████▌ | 28/50 [01:23<01:05, 2.98s/it]\n 58%|█████▊ | 29/50 [01:26<01:02, 2.98s/it]\n 60%|██████ | 30/50 [01:29<00:59, 2.98s/it]\n 62%|██████▏ | 31/50 [01:32<00:56, 2.98s/it]\n 64%|██████▍ | 32/50 [01:35<00:53, 2.98s/it]\n 66%|██████▌ | 33/50 [01:38<00:50, 2.98s/it]\n 68%|██████▊ | 34/50 [01:41<00:47, 2.98s/it]\n 70%|███████ | 35/50 [01:44<00:44, 2.98s/it]\n 72%|███████▏ | 36/50 [01:47<00:41, 2.98s/it]\n 74%|███████▍ | 37/50 [01:50<00:38, 2.98s/it]\n 76%|███████▌ | 38/50 [01:53<00:35, 2.98s/it]\n 78%|███████▊ | 39/50 [01:56<00:32, 2.98s/it]\n 80%|████████ | 40/50 [01:58<00:29, 2.98s/it]\n 82%|████████▏ | 41/50 [02:01<00:26, 2.98s/it]\n 84%|████████▍ | 42/50 [02:04<00:23, 2.98s/it]\n 86%|████████▌ | 43/50 [02:07<00:20, 2.98s/it]\n 88%|████████▊ | 44/50 [02:10<00:17, 2.98s/it]\n 90%|█████████ | 45/50 [02:13<00:14, 2.98s/it]\n 92%|█████████▏| 46/50 [02:16<00:11, 2.98s/it]\n 94%|█████████▍| 47/50 [02:19<00:08, 2.98s/it]\n 96%|█████████▌| 48/50 [02:22<00:05, 2.98s/it]\n 98%|█████████▊| 49/50 [02:25<00:02, 2.98s/it]\n100%|██████████| 50/50 [02:28<00:00, 2.98s/it]\n100%|██████████| 50/50 [02:28<00:00, 2.98s/it]", "metrics": { "predict_time": 149.97379779, "total_time": 149.983335 }, "output": "https://replicate.delivery/xezq/6FZdUljf1Zx8FSFq25KEFVtwGE6QJuB1ixxyhAQD6vyjGQdKA/output.png", "started_at": "2025-06-25T19:40:33.103537Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-vulv5lllmumnu5aza4ek2dtcab5alurm7lldojitqe7mm5fq3bxa", "get": "https://api.replicate.com/v1/predictions/vzm2zh9krsrm80cqn2dtvve9yc", "cancel": "https://api.replicate.com/v1/predictions/vzm2zh9krsrm80cqn2dtvve9yc/cancel" }, "version": "5b9ea1d0821a60be9c861ebfc3513d121ecd8cab1932d3aa8d703e517988502e" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<02:25, 2.97s/it] 4%|▍ | 2/50 [00:05<02:18, 2.88s/it] 6%|▌ | 3/50 [00:08<02:17, 2.93s/it] 8%|▊ | 4/50 [00:11<02:15, 2.95s/it] 10%|█ | 5/50 [00:14<02:13, 2.96s/it] 12%|█▏ | 6/50 [00:17<02:10, 2.97s/it] 14%|█▍ | 7/50 [00:20<02:07, 2.97s/it] 16%|█▌ | 8/50 [00:23<02:04, 2.97s/it] 18%|█▊ | 9/50 [00:26<02:01, 2.97s/it] 20%|██ | 10/50 [00:29<01:59, 2.98s/it] 22%|██▏ | 11/50 [00:32<01:56, 2.98s/it] 24%|██▍ | 12/50 [00:35<01:53, 2.98s/it] 26%|██▌ | 13/50 [00:38<01:50, 2.98s/it] 28%|██▊ | 14/50 [00:41<01:47, 2.98s/it] 30%|███ | 15/50 [00:44<01:44, 2.98s/it] 32%|███▏ | 16/50 [00:47<01:41, 2.98s/it] 34%|███▍ | 17/50 [00:50<01:38, 2.98s/it] 36%|███▌ | 18/50 [00:53<01:35, 2.98s/it] 38%|███▊ | 19/50 [00:56<01:32, 2.98s/it] 40%|████ | 20/50 [00:59<01:29, 2.98s/it] 42%|████▏ | 21/50 [01:02<01:26, 2.98s/it] 44%|████▍ | 22/50 [01:05<01:23, 2.98s/it] 46%|████▌ | 23/50 [01:08<01:20, 2.98s/it] 48%|████▊ | 24/50 [01:11<01:17, 2.98s/it] 50%|█████ | 25/50 [01:14<01:14, 2.98s/it] 52%|█████▏ | 26/50 [01:17<01:11, 2.98s/it] 54%|█████▍ | 27/50 [01:20<01:08, 2.98s/it] 56%|█████▌ | 28/50 [01:23<01:05, 2.98s/it] 58%|█████▊ | 29/50 [01:26<01:02, 2.98s/it] 60%|██████ | 30/50 [01:29<00:59, 2.98s/it] 62%|██████▏ | 31/50 [01:32<00:56, 2.98s/it] 64%|██████▍ | 32/50 [01:35<00:53, 2.98s/it] 66%|██████▌ | 33/50 [01:38<00:50, 2.98s/it] 68%|██████▊ | 34/50 [01:41<00:47, 2.98s/it] 70%|███████ | 35/50 [01:44<00:44, 2.98s/it] 72%|███████▏ | 36/50 [01:47<00:41, 2.98s/it] 74%|███████▍ | 37/50 [01:50<00:38, 2.98s/it] 76%|███████▌ | 38/50 [01:53<00:35, 2.98s/it] 78%|███████▊ | 39/50 [01:56<00:32, 2.98s/it] 80%|████████ | 40/50 [01:58<00:29, 2.98s/it] 82%|████████▏ | 41/50 [02:01<00:26, 2.98s/it] 84%|████████▍ | 42/50 [02:04<00:23, 2.98s/it] 86%|████████▌ | 43/50 [02:07<00:20, 2.98s/it] 88%|████████▊ | 44/50 [02:10<00:17, 2.98s/it] 90%|█████████ | 45/50 [02:13<00:14, 2.98s/it] 92%|█████████▏| 46/50 [02:16<00:11, 2.98s/it] 94%|█████████▍| 47/50 [02:19<00:08, 2.98s/it] 96%|█████████▌| 48/50 [02:22<00:05, 2.98s/it] 98%|█████████▊| 49/50 [02:25<00:02, 2.98s/it] 100%|██████████| 50/50 [02:28<00:00, 2.98s/it] 100%|██████████| 50/50 [02:28<00:00, 2.98s/it]
))%2C%20blurry%2C%20over%20saturation%2C%20bad%20anatomy%2C%20disfigured%2C%20poorly%20drawn%20face%2C%20mutation%2C%20mutated%2C%20(extra_limb)%2C%20(ugly)%2C%20(poorly%20drawn%20hands)%2C%20fused%20fingers%2C%20messy%20drawing%2C%20broken%20legs%20censor%2C%20censored%2C%20censor_bar%22%2C%22num_inference_steps%22%3A50%2C%22text_guidance_scale%22%3A5%2C%22image_guidance_scale%22%3A2%2C%22max_input_image_side_length%22%3A2048%7D){kind=link}
))%2C%20blurry%2C%20over%20saturation%2C%20bad%20anatomy%2C%20disfigured%2C%20poorly%20drawn%20face%2C%20mutation%2C%20mutated%2C%20(extra_limb)%2C%20(ugly)%2C%20(poorly%20drawn%20hands)%2C%20fused%20fingers%2C%20messy%20drawing%2C%20broken%20legs%20censor%2C%20censored%2C%20censor_bar%22%2C%22num_inference_steps%22%3A50%2C%22text_guidance_scale%22%3A5%2C%22image_guidance_scale%22%3A2%2C%22max_input_image_side_length%22%3A2048%7D){kind=link}
))%2C%20blurry%2C%20over%20saturation%2C%20bad%20anatomy%2C%20disfigured%2C%20poorly%20drawn%20face%2C%20mutation%2C%20mutated%2C%20(extra_limb)%2C%20(ugly)%2C%20(poorly%20drawn%20hands)%2C%20fused%20fingers%2C%20messy%20drawing%2C%20broken%20legs%20censor%2C%20censored%2C%20censor_bar%22%2C%22num_inference_steps%22%3A50%2C%22text_guidance_scale%22%3A5%2C%22image_guidance_scale%22%3A2%2C%22max_input_image_side_length%22%3A2048%7D){kind=link}
))%2C%20blurry%2C%20over%20saturation%2C%20bad%20anatomy%2C%20disfigured%2C%20poorly%20drawn%20face%2C%20mutation%2C%20mutated%2C%20(extra_limb)%2C%20(ugly)%2C%20(poorly%20drawn%20hands)%2C%20fused%20fingers%2C%20messy%20drawing%2C%20broken%20legs%20censor%2C%20censored%2C%20censor_bar%22%2C%22num_inference_steps%22%3A50%2C%22text_guidance_scale%22%3A5%2C%22image_guidance_scale%22%3A2%2C%22max_input_image_side_length%22%3A2048%7D){kind=link}
))%2C%20blurry%2C%20over%20saturation%2C%20bad%20anatomy%2C%20disfigured%2C%20poorly%20drawn%20face%2C%20mutation%2C%20mutated%2C%20(extra_limb)%2C%20(ugly)%2C%20(poorly%20drawn%20hands)%2C%20fused%20fingers%2C%20messy%20drawing%2C%20broken%20legs%20censor%2C%20censored%2C%20censor_bar%22%2C%22num_inference_steps%22%3A50%2C%22text_guidance_scale%22%3A5%2C%22image_guidance_scale%22%3A2%2C%22max_input_image_side_length%22%3A2048%7D){kind=link}
))%2C%20blurry%2C%20over%20saturation%2C%20bad%20anatomy%2C%20disfigured%2C%20poorly%20drawn%20face%2C%20mutation%2C%20mutated%2C%20(extra_limb)%2C%20(ugly)%2C%20(poorly%20drawn%20hands)%2C%20fused%20fingers%2C%20messy%20drawing%2C%20broken%20legs%20censor%2C%20censored%2C%20censor_bar%22%2C%22num_inference_steps%22%3A50%2C%22text_guidance_scale%22%3A5%2C%22image_guidance_scale%22%3A2%2C%22max_input_image_side_length%22%3A2048%7D){kind=link}
))%2C%20blurry%2C%20over%20saturation%2C%20bad%20anatomy%2C%20disfigured%2C%20poorly%20drawn%20face%2C%20mutation%2C%20mutated%2C%20(extra_limb)%2C%20(ugly)%2C%20(poorly%20drawn%20hands)%2C%20fused%20fingers%2C%20messy%20drawing%2C%20broken%20legs%20censor%2C%20censored%2C%20censor_bar%22%2C%22num_inference_steps%22%3A50%2C%22text_guidance_scale%22%3A5%2C%22image_guidance_scale%22%3A2%2C%22max_input_image_side_length%22%3A2048%7D){kind=link}
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