zelenioncode/custum_model_safetonsors

DreamBooth safetensors model use RealVisXL

This model create picture with RealVisXL3 ( with WebUI api ).


Realism photo with RealVisXl v4.0 ( Realistic Vision with Stable Diffusion XL )

Model for the AiPicture
Prediction
zelenioncode/custum_model_safetonsors:fbc6b8aa2b270d55b81836e4feee38c2f1051e79c6f414aa7ede98af5ef25781ID5kse7pdbe7m4h4hbu4ekveqt5eStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 3456051406
- width
- 768
- height
- 1024
- prompt
- photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3
- WithRVXL
- guidance_scale
- 7
- number_picture
- 4
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 3456051406, "width": 768, "height": 1024, "prompt": "photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "WithRVXL": true, "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:fbc6b8aa2b270d55b81836e4feee38c2f1051e79c6f414aa7ede98af5ef25781", { input: { seed: 3456051406, width: 768, height: 1024, prompt: "photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", WithRVXL: true, guidance_scale: 7, number_picture: 4, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:fbc6b8aa2b270d55b81836e4feee38c2f1051e79c6f414aa7ede98af5ef25781", input={ "seed": 3456051406, "width": 768, "height": 1024, "prompt": "photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "WithRVXL": True, "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:fbc6b8aa2b270d55b81836e4feee38c2f1051e79c6f414aa7ede98af5ef25781", "input": { "seed": 3456051406, "width": 768, "height": 1024, "prompt": "photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "WithRVXL": true, "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-17T19:59:21.786786Z", "created_at": "2023-12-17T19:59:06.046473Z", "data_removed": false, "error": null, "id": "5kse7pdbe7m4h4hbu4ekveqt5e", "input": { "seed": 3456051406, "width": 768, "height": 1024, "prompt": "photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "WithRVXL": true, "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:12, 3.17it/s]\n 5%|▌ | 2/40 [00:00<00:11, 3.27it/s]\n 8%|▊ | 3/40 [00:00<00:11, 3.30it/s]\n 10%|█ | 4/40 [00:01<00:10, 3.31it/s]\n 12%|█▎ | 5/40 [00:01<00:10, 3.32it/s]\n 15%|█▌ | 6/40 [00:01<00:10, 3.33it/s]\n 18%|█▊ | 7/40 [00:02<00:09, 3.33it/s]\n 20%|██ | 8/40 [00:02<00:09, 3.33it/s]\n 22%|██▎ | 9/40 [00:02<00:09, 3.32it/s]\n 25%|██▌ | 10/40 [00:03<00:09, 3.32it/s]\n 28%|██▊ | 11/40 [00:03<00:08, 3.32it/s]\n 30%|███ | 12/40 [00:03<00:08, 3.32it/s]\n 32%|███▎ | 13/40 [00:03<00:08, 3.32it/s]\n 35%|███▌ | 14/40 [00:04<00:07, 3.33it/s]\n 38%|███▊ | 15/40 [00:04<00:07, 3.33it/s]\n 40%|████ | 16/40 [00:04<00:07, 3.33it/s]\n 42%|████▎ | 17/40 [00:05<00:06, 3.33it/s]\n 45%|████▌ | 18/40 [00:05<00:06, 3.33it/s]\n 48%|████▊ | 19/40 [00:05<00:06, 3.32it/s]\n 50%|█████ | 20/40 [00:06<00:06, 3.32it/s]\n 52%|█████▎ | 21/40 [00:06<00:05, 3.32it/s]\n 55%|█████▌ | 22/40 [00:06<00:05, 3.32it/s]\n 57%|█████▊ | 23/40 [00:06<00:05, 3.32it/s]\n 60%|██████ | 24/40 [00:07<00:04, 3.32it/s]\n 62%|██████▎ | 25/40 [00:07<00:04, 3.32it/s]\n 65%|██████▌ | 26/40 [00:07<00:04, 3.32it/s]\n 68%|██████▊ | 27/40 [00:08<00:03, 3.32it/s]\n 70%|███████ | 28/40 [00:08<00:03, 3.32it/s]\n 72%|███████▎ | 29/40 [00:08<00:03, 3.32it/s]\n 75%|███████▌ | 30/40 [00:09<00:03, 3.32it/s]\n 78%|███████▊ | 31/40 [00:09<00:02, 3.32it/s]\n 80%|████████ | 32/40 [00:09<00:02, 3.32it/s]\n 82%|████████▎ | 33/40 [00:09<00:02, 3.32it/s]\n 85%|████████▌ | 34/40 [00:10<00:01, 3.32it/s]\n 88%|████████▊ | 35/40 [00:10<00:01, 3.32it/s]\n 90%|█████████ | 36/40 [00:10<00:01, 3.32it/s]\n 92%|█████████▎| 37/40 [00:11<00:00, 3.32it/s]\n 95%|█████████▌| 38/40 [00:11<00:00, 3.32it/s]\n 98%|█████████▊| 39/40 [00:11<00:00, 3.32it/s]\n100%|██████████| 40/40 [00:12<00:00, 3.32it/s]\n100%|██████████| 40/40 [00:12<00:00, 3.32it/s]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"EulerDiscreteScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 15.723499, "total_time": 15.740313 }, "output": [ "https://replicate.delivery/pbxt/vxbYdrEID9oAKBEpMtcz7EP7ECPZPHdaU6EpR7C9AcHGF0gE/output_0.png", "https://replicate.delivery/pbxt/zttINejIQUWsUSosGtlYQ5x9DzMPaKi5o2ZAjfQJwEPZUQDSA/output_1.png", "https://replicate.delivery/pbxt/SNfXIDcPp2y7KyiTUkx5Zf6oxTWYjIzdD2Txm5eP6sdyogGkA/output_2.png", "https://replicate.delivery/pbxt/3qczqSwKJLZAD9Q1APpaTwJVWodS68ab5cNyNwOyhMZGF0gE/output_3.png" ], "started_at": "2023-12-17T19:59:06.063287Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5kse7pdbe7m4h4hbu4ekveqt5e", "cancel": "https://api.replicate.com/v1/predictions/5kse7pdbe7m4h4hbu4ekveqt5e/cancel" }, "version": "fbc6b8aa2b270d55b81836e4feee38c2f1051e79c6f414aa7ede98af5ef25781" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:12, 3.17it/s] 5%|▌ | 2/40 [00:00<00:11, 3.27it/s] 8%|▊ | 3/40 [00:00<00:11, 3.30it/s] 10%|█ | 4/40 [00:01<00:10, 3.31it/s] 12%|█▎ | 5/40 [00:01<00:10, 3.32it/s] 15%|█▌ | 6/40 [00:01<00:10, 3.33it/s] 18%|█▊ | 7/40 [00:02<00:09, 3.33it/s] 20%|██ | 8/40 [00:02<00:09, 3.33it/s] 22%|██▎ | 9/40 [00:02<00:09, 3.32it/s] 25%|██▌ | 10/40 [00:03<00:09, 3.32it/s] 28%|██▊ | 11/40 [00:03<00:08, 3.32it/s] 30%|███ | 12/40 [00:03<00:08, 3.32it/s] 32%|███▎ | 13/40 [00:03<00:08, 3.32it/s] 35%|███▌ | 14/40 [00:04<00:07, 3.33it/s] 38%|███▊ | 15/40 [00:04<00:07, 3.33it/s] 40%|████ | 16/40 [00:04<00:07, 3.33it/s] 42%|████▎ | 17/40 [00:05<00:06, 3.33it/s] 45%|████▌ | 18/40 [00:05<00:06, 3.33it/s] 48%|████▊ | 19/40 [00:05<00:06, 3.32it/s] 50%|█████ | 20/40 [00:06<00:06, 3.32it/s] 52%|█████▎ | 21/40 [00:06<00:05, 3.32it/s] 55%|█████▌ | 22/40 [00:06<00:05, 3.32it/s] 57%|█████▊ | 23/40 [00:06<00:05, 3.32it/s] 60%|██████ | 24/40 [00:07<00:04, 3.32it/s] 62%|██████▎ | 25/40 [00:07<00:04, 3.32it/s] 65%|██████▌ | 26/40 [00:07<00:04, 3.32it/s] 68%|██████▊ | 27/40 [00:08<00:03, 3.32it/s] 70%|███████ | 28/40 [00:08<00:03, 3.32it/s] 72%|███████▎ | 29/40 [00:08<00:03, 3.32it/s] 75%|███████▌ | 30/40 [00:09<00:03, 3.32it/s] 78%|███████▊ | 31/40 [00:09<00:02, 3.32it/s] 80%|████████ | 32/40 [00:09<00:02, 3.32it/s] 82%|████████▎ | 33/40 [00:09<00:02, 3.32it/s] 85%|████████▌ | 34/40 [00:10<00:01, 3.32it/s] 88%|████████▊ | 35/40 [00:10<00:01, 3.32it/s] 90%|█████████ | 36/40 [00:10<00:01, 3.32it/s] 92%|█████████▎| 37/40 [00:11<00:00, 3.32it/s] 95%|█████████▌| 38/40 [00:11<00:00, 3.32it/s] 98%|█████████▊| 39/40 [00:11<00:00, 3.32it/s] 100%|██████████| 40/40 [00:12<00:00, 3.32it/s] 100%|██████████| 40/40 [00:12<00:00, 3.32it/s] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "EulerDiscreteScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Prediction
zelenioncode/custum_model_safetonsors:058907cc602155af3fd39a25162f7e486fa79aa886d210761371d015cdaeca6dID7yomlrrbsyors5mw2u27nacfiiStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 100
- width
- 768
- height
- 1024
- prompt
- dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot, face to camera
- guidance_scale
- 7
- number_picture
- 1
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 100, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot, face to camera", "guidance_scale": 7, "number_picture": 1, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:058907cc602155af3fd39a25162f7e486fa79aa886d210761371d015cdaeca6d", { input: { seed: 100, width: 768, height: 1024, prompt: "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot, face to camera", guidance_scale: 7, number_picture: 1, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:058907cc602155af3fd39a25162f7e486fa79aa886d210761371d015cdaeca6d", input={ "seed": 100, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot, face to camera", "guidance_scale": 7, "number_picture": 1, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:058907cc602155af3fd39a25162f7e486fa79aa886d210761371d015cdaeca6d", "input": { "seed": 100, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot, face to camera", "guidance_scale": 7, "number_picture": 1, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T18:45:23.868415Z", "created_at": "2023-12-20T18:45:16.894963Z", "data_removed": false, "error": null, "id": "7yomlrrbsyors5mw2u27nacfii", "input": { "seed": 100, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot, face to camera", "guidance_scale": 7, "number_picture": 1, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:08, 4.44it/s]\n 5%|▌ | 2/40 [00:00<00:06, 5.89it/s]\n 8%|▊ | 3/40 [00:00<00:05, 6.58it/s]\n 10%|█ | 4/40 [00:00<00:05, 6.93it/s]\n 12%|█▎ | 5/40 [00:00<00:04, 7.11it/s]\n 15%|█▌ | 6/40 [00:00<00:04, 6.85it/s]\n 18%|█▊ | 7/40 [00:01<00:04, 7.08it/s]\n 20%|██ | 8/40 [00:01<00:04, 7.15it/s]\n 22%|██▎ | 9/40 [00:01<00:04, 7.32it/s]\n 25%|██▌ | 10/40 [00:01<00:04, 7.43it/s]\n 28%|██▊ | 11/40 [00:01<00:03, 7.49it/s]\n 30%|███ | 12/40 [00:01<00:03, 7.52it/s]\n 32%|███▎ | 13/40 [00:01<00:03, 7.52it/s]\n 35%|███▌ | 14/40 [00:01<00:03, 7.17it/s]\n 38%|███▊ | 15/40 [00:02<00:03, 7.34it/s]\n 40%|████ | 16/40 [00:02<00:03, 7.45it/s]\n 42%|████▎ | 17/40 [00:02<00:03, 7.56it/s]\n 45%|████▌ | 18/40 [00:02<00:02, 7.61it/s]\n 48%|████▊ | 19/40 [00:02<00:02, 7.64it/s]\n 50%|█████ | 20/40 [00:02<00:02, 7.64it/s]\n 52%|█████▎ | 21/40 [00:02<00:02, 7.31it/s]\n 55%|█████▌ | 22/40 [00:03<00:02, 7.47it/s]\n 57%|█████▊ | 23/40 [00:03<00:02, 7.59it/s]\n 60%|██████ | 24/40 [00:03<00:02, 7.64it/s]\n 62%|██████▎ | 25/40 [00:03<00:01, 7.71it/s]\n 65%|██████▌ | 26/40 [00:03<00:01, 7.76it/s]\n 68%|██████▊ | 27/40 [00:03<00:01, 7.79it/s]\n 70%|███████ | 28/40 [00:03<00:01, 7.72it/s]\n 72%|███████▎ | 29/40 [00:03<00:01, 7.47it/s]\n 75%|███████▌ | 30/40 [00:04<00:01, 7.56it/s]\n 78%|███████▊ | 31/40 [00:04<00:01, 7.60it/s]\n 80%|████████ | 32/40 [00:04<00:01, 7.62it/s]\n 82%|████████▎ | 33/40 [00:04<00:00, 7.66it/s]\n 85%|████████▌ | 34/40 [00:04<00:00, 7.69it/s]\n 88%|████████▊ | 35/40 [00:04<00:00, 7.72it/s]\n 90%|█████████ | 36/40 [00:04<00:00, 7.70it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 7.39it/s]\n 95%|█████████▌| 38/40 [00:05<00:00, 7.49it/s]\n 98%|█████████▊| 39/40 [00:05<00:00, 7.61it/s]\n100%|██████████| 40/40 [00:05<00:00, 7.69it/s]\n100%|██████████| 40/40 [00:05<00:00, 7.42it/s]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"EulerDiscreteScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 6.956427, "total_time": 6.973452 }, "output": [ "https://replicate.delivery/pbxt/HeQhk9XdS3UnGqVbuepd9P3Wp3uOvGv724anWPP2xazDhOESA/output_0.png" ], "started_at": "2023-12-20T18:45:16.911988Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7yomlrrbsyors5mw2u27nacfii", "cancel": "https://api.replicate.com/v1/predictions/7yomlrrbsyors5mw2u27nacfii/cancel" }, "version": "058907cc602155af3fd39a25162f7e486fa79aa886d210761371d015cdaeca6d" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:08, 4.44it/s] 5%|▌ | 2/40 [00:00<00:06, 5.89it/s] 8%|▊ | 3/40 [00:00<00:05, 6.58it/s] 10%|█ | 4/40 [00:00<00:05, 6.93it/s] 12%|█▎ | 5/40 [00:00<00:04, 7.11it/s] 15%|█▌ | 6/40 [00:00<00:04, 6.85it/s] 18%|█▊ | 7/40 [00:01<00:04, 7.08it/s] 20%|██ | 8/40 [00:01<00:04, 7.15it/s] 22%|██▎ | 9/40 [00:01<00:04, 7.32it/s] 25%|██▌ | 10/40 [00:01<00:04, 7.43it/s] 28%|██▊ | 11/40 [00:01<00:03, 7.49it/s] 30%|███ | 12/40 [00:01<00:03, 7.52it/s] 32%|███▎ | 13/40 [00:01<00:03, 7.52it/s] 35%|███▌ | 14/40 [00:01<00:03, 7.17it/s] 38%|███▊ | 15/40 [00:02<00:03, 7.34it/s] 40%|████ | 16/40 [00:02<00:03, 7.45it/s] 42%|████▎ | 17/40 [00:02<00:03, 7.56it/s] 45%|████▌ | 18/40 [00:02<00:02, 7.61it/s] 48%|████▊ | 19/40 [00:02<00:02, 7.64it/s] 50%|█████ | 20/40 [00:02<00:02, 7.64it/s] 52%|█████▎ | 21/40 [00:02<00:02, 7.31it/s] 55%|█████▌ | 22/40 [00:03<00:02, 7.47it/s] 57%|█████▊ | 23/40 [00:03<00:02, 7.59it/s] 60%|██████ | 24/40 [00:03<00:02, 7.64it/s] 62%|██████▎ | 25/40 [00:03<00:01, 7.71it/s] 65%|██████▌ | 26/40 [00:03<00:01, 7.76it/s] 68%|██████▊ | 27/40 [00:03<00:01, 7.79it/s] 70%|███████ | 28/40 [00:03<00:01, 7.72it/s] 72%|███████▎ | 29/40 [00:03<00:01, 7.47it/s] 75%|███████▌ | 30/40 [00:04<00:01, 7.56it/s] 78%|███████▊ | 31/40 [00:04<00:01, 7.60it/s] 80%|████████ | 32/40 [00:04<00:01, 7.62it/s] 82%|████████▎ | 33/40 [00:04<00:00, 7.66it/s] 85%|████████▌ | 34/40 [00:04<00:00, 7.69it/s] 88%|████████▊ | 35/40 [00:04<00:00, 7.72it/s] 90%|█████████ | 36/40 [00:04<00:00, 7.70it/s] 92%|█████████▎| 37/40 [00:05<00:00, 7.39it/s] 95%|█████████▌| 38/40 [00:05<00:00, 7.49it/s] 98%|█████████▊| 39/40 [00:05<00:00, 7.61it/s] 100%|██████████| 40/40 [00:05<00:00, 7.69it/s] 100%|██████████| 40/40 [00:05<00:00, 7.42it/s] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "EulerDiscreteScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Prediction
zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02IDvjvv3djbas7prow25bvhktu4myStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1334
- width
- 768
- height
- 1024
- prompt
- dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot
- scheduler
- K_EULER
- guidance_scale
- 7
- number_picture
- 4
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", { input: { seed: 1334, width: 768, height: 1024, prompt: "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", scheduler: "K_EULER", guidance_scale: 7, number_picture: 4, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", input={ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T19:46:14.780266Z", "created_at": "2023-12-20T19:45:57.135409Z", "data_removed": false, "error": null, "id": "vjvv3djbas7prow25bvhktu4my", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:13, 2.94it/s]\n 5%|▌ | 2/40 [00:00<00:12, 3.14it/s]\n 8%|▊ | 3/40 [00:00<00:11, 3.21it/s]\n 10%|█ | 4/40 [00:01<00:11, 3.24it/s]\n 12%|█▎ | 5/40 [00:01<00:10, 3.26it/s]\n 15%|█▌ | 6/40 [00:01<00:10, 3.27it/s]\n 18%|█▊ | 7/40 [00:02<00:10, 3.27it/s]\n 20%|██ | 8/40 [00:02<00:09, 3.28it/s]\n 22%|██▎ | 9/40 [00:02<00:09, 3.28it/s]\n 25%|██▌ | 10/40 [00:03<00:09, 3.28it/s]\n 28%|██▊ | 11/40 [00:03<00:08, 3.28it/s]\n 30%|███ | 12/40 [00:03<00:08, 3.28it/s]\n 32%|███▎ | 13/40 [00:03<00:08, 3.28it/s]\n 35%|███▌ | 14/40 [00:04<00:07, 3.29it/s]\n 38%|███▊ | 15/40 [00:04<00:07, 3.29it/s]\n 40%|████ | 16/40 [00:04<00:07, 3.29it/s]\n 42%|████▎ | 17/40 [00:05<00:06, 3.29it/s]\n 45%|████▌ | 18/40 [00:05<00:06, 3.29it/s]\n 48%|████▊ | 19/40 [00:05<00:06, 3.29it/s]\n 50%|█████ | 20/40 [00:06<00:06, 3.29it/s]\n 52%|█████▎ | 21/40 [00:06<00:05, 3.28it/s]\n 55%|█████▌ | 22/40 [00:06<00:05, 3.28it/s]\n 57%|█████▊ | 23/40 [00:07<00:05, 3.26it/s]\n 60%|██████ | 24/40 [00:07<00:04, 3.27it/s]\n 62%|██████▎ | 25/40 [00:07<00:04, 3.27it/s]\n 65%|██████▌ | 26/40 [00:07<00:04, 3.27it/s]\n 68%|██████▊ | 27/40 [00:08<00:03, 3.27it/s]\n 70%|███████ | 28/40 [00:08<00:03, 3.27it/s]\n 72%|███████▎ | 29/40 [00:08<00:03, 3.26it/s]\n 75%|███████▌ | 30/40 [00:09<00:03, 3.25it/s]\n 78%|███████▊ | 31/40 [00:09<00:02, 3.25it/s]\n 80%|████████ | 32/40 [00:09<00:02, 3.26it/s]\n 82%|████████▎ | 33/40 [00:10<00:02, 3.26it/s]\n 85%|████████▌ | 34/40 [00:10<00:01, 3.26it/s]\n 88%|████████▊ | 35/40 [00:10<00:01, 3.26it/s]\n 90%|█████████ | 36/40 [00:11<00:01, 3.26it/s]\n 92%|█████████▎| 37/40 [00:11<00:00, 3.26it/s]\n 95%|█████████▌| 38/40 [00:11<00:00, 3.25it/s]\n 98%|█████████▊| 39/40 [00:11<00:00, 3.24it/s]\n100%|██████████| 40/40 [00:12<00:00, 3.25it/s]\n100%|██████████| 40/40 [00:12<00:00, 3.26it/s]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"EulerDiscreteScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 17.63124, "total_time": 17.644857 }, "output": [ "https://replicate.delivery/pbxt/XPrf9gKyDMVNRakV6pLHHNR4aEUfnfAe5BfefRxzlyRzBtHCJA/output_0.png", "https://replicate.delivery/pbxt/btG4qqE8d9akIVqVqfe4l83ffAm7AwU92iFPrQ4r7ZwRo9QIB/output_1.png", "https://replicate.delivery/pbxt/sfxB6ekga4i2404IKkJLcGnsvWYVZCqLFhX43kUJ4sMFaPESA/output_2.png", "https://replicate.delivery/pbxt/XRvDIAqnRQrEC1Gcrlu9Wba1oGOUFElQwlC3Odzsr1oh2DhE/output_3.png" ], "started_at": "2023-12-20T19:45:57.149026Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vjvv3djbas7prow25bvhktu4my", "cancel": "https://api.replicate.com/v1/predictions/vjvv3djbas7prow25bvhktu4my/cancel" }, "version": "df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:13, 2.94it/s] 5%|▌ | 2/40 [00:00<00:12, 3.14it/s] 8%|▊ | 3/40 [00:00<00:11, 3.21it/s] 10%|█ | 4/40 [00:01<00:11, 3.24it/s] 12%|█▎ | 5/40 [00:01<00:10, 3.26it/s] 15%|█▌ | 6/40 [00:01<00:10, 3.27it/s] 18%|█▊ | 7/40 [00:02<00:10, 3.27it/s] 20%|██ | 8/40 [00:02<00:09, 3.28it/s] 22%|██▎ | 9/40 [00:02<00:09, 3.28it/s] 25%|██▌ | 10/40 [00:03<00:09, 3.28it/s] 28%|██▊ | 11/40 [00:03<00:08, 3.28it/s] 30%|███ | 12/40 [00:03<00:08, 3.28it/s] 32%|███▎ | 13/40 [00:03<00:08, 3.28it/s] 35%|███▌ | 14/40 [00:04<00:07, 3.29it/s] 38%|███▊ | 15/40 [00:04<00:07, 3.29it/s] 40%|████ | 16/40 [00:04<00:07, 3.29it/s] 42%|████▎ | 17/40 [00:05<00:06, 3.29it/s] 45%|████▌ | 18/40 [00:05<00:06, 3.29it/s] 48%|████▊ | 19/40 [00:05<00:06, 3.29it/s] 50%|█████ | 20/40 [00:06<00:06, 3.29it/s] 52%|█████▎ | 21/40 [00:06<00:05, 3.28it/s] 55%|█████▌ | 22/40 [00:06<00:05, 3.28it/s] 57%|█████▊ | 23/40 [00:07<00:05, 3.26it/s] 60%|██████ | 24/40 [00:07<00:04, 3.27it/s] 62%|██████▎ | 25/40 [00:07<00:04, 3.27it/s] 65%|██████▌ | 26/40 [00:07<00:04, 3.27it/s] 68%|██████▊ | 27/40 [00:08<00:03, 3.27it/s] 70%|███████ | 28/40 [00:08<00:03, 3.27it/s] 72%|███████▎ | 29/40 [00:08<00:03, 3.26it/s] 75%|███████▌ | 30/40 [00:09<00:03, 3.25it/s] 78%|███████▊ | 31/40 [00:09<00:02, 3.25it/s] 80%|████████ | 32/40 [00:09<00:02, 3.26it/s] 82%|████████▎ | 33/40 [00:10<00:02, 3.26it/s] 85%|████████▌ | 34/40 [00:10<00:01, 3.26it/s] 88%|████████▊ | 35/40 [00:10<00:01, 3.26it/s] 90%|█████████ | 36/40 [00:11<00:01, 3.26it/s] 92%|█████████▎| 37/40 [00:11<00:00, 3.26it/s] 95%|█████████▌| 38/40 [00:11<00:00, 3.25it/s] 98%|█████████▊| 39/40 [00:11<00:00, 3.24it/s] 100%|██████████| 40/40 [00:12<00:00, 3.25it/s] 100%|██████████| 40/40 [00:12<00:00, 3.26it/s] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "EulerDiscreteScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Prediction
zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02IDdrfpsalb2ehze3e2a47ybva2oeStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 1334
- width
- 768
- height
- 1024
- prompt
- dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot
- scheduler
- K_EULER_ANCESTRAL
- guidance_scale
- 7
- number_picture
- 4
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", { input: { seed: 1334, width: 768, height: 1024, prompt: "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", scheduler: "K_EULER_ANCESTRAL", guidance_scale: 7, number_picture: 4, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", input={ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T20:21:01.318495Z", "created_at": "2023-12-20T20:20:34.288700Z", "data_removed": false, "error": null, "id": "drfpsalb2ehze3e2a47ybva2oe", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:20, 1.86it/s]\n 5%|▌ | 2/40 [00:01<00:20, 1.85it/s]\n 8%|▊ | 3/40 [00:01<00:19, 1.86it/s]\n 10%|█ | 4/40 [00:02<00:19, 1.85it/s]\n 12%|█▎ | 5/40 [00:02<00:18, 1.86it/s]\n 15%|█▌ | 6/40 [00:03<00:18, 1.86it/s]\n 18%|█▊ | 7/40 [00:03<00:17, 1.86it/s]\n 20%|██ | 8/40 [00:04<00:17, 1.86it/s]\n 22%|██▎ | 9/40 [00:04<00:16, 1.86it/s]\n 25%|██▌ | 10/40 [00:05<00:16, 1.85it/s]\n 28%|██▊ | 11/40 [00:05<00:15, 1.85it/s]\n 30%|███ | 12/40 [00:06<00:15, 1.85it/s]\n 32%|███▎ | 13/40 [00:07<00:14, 1.85it/s]\n 35%|███▌ | 14/40 [00:07<00:14, 1.85it/s]\n 38%|███▊ | 15/40 [00:08<00:13, 1.85it/s]\n 40%|████ | 16/40 [00:08<00:12, 1.85it/s]\n 42%|████▎ | 17/40 [00:09<00:12, 1.85it/s]\n 45%|████▌ | 18/40 [00:09<00:11, 1.85it/s]\n 48%|████▊ | 19/40 [00:10<00:11, 1.85it/s]\n 50%|█████ | 20/40 [00:10<00:10, 1.85it/s]\n 52%|█████▎ | 21/40 [00:11<00:10, 1.85it/s]\n 55%|█████▌ | 22/40 [00:11<00:09, 1.85it/s]\n 57%|█████▊ | 23/40 [00:12<00:09, 1.85it/s]\n 60%|██████ | 24/40 [00:12<00:08, 1.85it/s]\n 62%|██████▎ | 25/40 [00:13<00:08, 1.84it/s]\n 65%|██████▌ | 26/40 [00:14<00:07, 1.84it/s]\n 68%|██████▊ | 27/40 [00:14<00:07, 1.84it/s]\n 70%|███████ | 28/40 [00:15<00:06, 1.84it/s]\n 72%|███████▎ | 29/40 [00:15<00:05, 1.84it/s]\n 75%|███████▌ | 30/40 [00:16<00:05, 1.84it/s]\n 78%|███████▊ | 31/40 [00:16<00:04, 1.84it/s]\n 80%|████████ | 32/40 [00:17<00:04, 1.84it/s]\n 82%|████████▎ | 33/40 [00:17<00:03, 1.84it/s]\n 85%|████████▌ | 34/40 [00:18<00:03, 1.84it/s]\n 88%|████████▊ | 35/40 [00:18<00:02, 1.84it/s]\n 90%|█████████ | 36/40 [00:19<00:02, 1.84it/s]\n 92%|█████████▎| 37/40 [00:20<00:01, 1.84it/s]\n 95%|█████████▌| 38/40 [00:20<00:01, 1.84it/s]\n 98%|█████████▊| 39/40 [00:21<00:00, 1.83it/s]\n100%|██████████| 40/40 [00:21<00:00, 1.83it/s]\n100%|██████████| 40/40 [00:21<00:00, 1.85it/s]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"EulerAncestralDiscreteScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 26.993704, "total_time": 27.029795 }, "output": [ "https://replicate.delivery/pbxt/fe8liZBJbtgJIk8fAwH7nfnhLt55LkQM7sKLtwJOQt5rqfhQC/output_0.png", "https://replicate.delivery/pbxt/5xffmgo9RNsQtk2TDCb2QfjtFSwEnIOvw6IQ7GWFQrWX1fQIB/output_1.png", "https://replicate.delivery/pbxt/ivUHDQeX7Y1pFiki5BulNGVMU5sAAxjUBymwTZUlmQYW9HCJA/output_2.png", "https://replicate.delivery/pbxt/spQvEbRIyfzZKaO6tqA82DdLfFZcOYkB0YdL5Em75xds6PESA/output_3.png" ], "started_at": "2023-12-20T20:20:34.324791Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/drfpsalb2ehze3e2a47ybva2oe", "cancel": "https://api.replicate.com/v1/predictions/drfpsalb2ehze3e2a47ybva2oe/cancel" }, "version": "df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:20, 1.86it/s] 5%|▌ | 2/40 [00:01<00:20, 1.85it/s] 8%|▊ | 3/40 [00:01<00:19, 1.86it/s] 10%|█ | 4/40 [00:02<00:19, 1.85it/s] 12%|█▎ | 5/40 [00:02<00:18, 1.86it/s] 15%|█▌ | 6/40 [00:03<00:18, 1.86it/s] 18%|█▊ | 7/40 [00:03<00:17, 1.86it/s] 20%|██ | 8/40 [00:04<00:17, 1.86it/s] 22%|██▎ | 9/40 [00:04<00:16, 1.86it/s] 25%|██▌ | 10/40 [00:05<00:16, 1.85it/s] 28%|██▊ | 11/40 [00:05<00:15, 1.85it/s] 30%|███ | 12/40 [00:06<00:15, 1.85it/s] 32%|███▎ | 13/40 [00:07<00:14, 1.85it/s] 35%|███▌ | 14/40 [00:07<00:14, 1.85it/s] 38%|███▊ | 15/40 [00:08<00:13, 1.85it/s] 40%|████ | 16/40 [00:08<00:12, 1.85it/s] 42%|████▎ | 17/40 [00:09<00:12, 1.85it/s] 45%|████▌ | 18/40 [00:09<00:11, 1.85it/s] 48%|████▊ | 19/40 [00:10<00:11, 1.85it/s] 50%|█████ | 20/40 [00:10<00:10, 1.85it/s] 52%|█████▎ | 21/40 [00:11<00:10, 1.85it/s] 55%|█████▌ | 22/40 [00:11<00:09, 1.85it/s] 57%|█████▊ | 23/40 [00:12<00:09, 1.85it/s] 60%|██████ | 24/40 [00:12<00:08, 1.85it/s] 62%|██████▎ | 25/40 [00:13<00:08, 1.84it/s] 65%|██████▌ | 26/40 [00:14<00:07, 1.84it/s] 68%|██████▊ | 27/40 [00:14<00:07, 1.84it/s] 70%|███████ | 28/40 [00:15<00:06, 1.84it/s] 72%|███████▎ | 29/40 [00:15<00:05, 1.84it/s] 75%|███████▌ | 30/40 [00:16<00:05, 1.84it/s] 78%|███████▊ | 31/40 [00:16<00:04, 1.84it/s] 80%|████████ | 32/40 [00:17<00:04, 1.84it/s] 82%|████████▎ | 33/40 [00:17<00:03, 1.84it/s] 85%|████████▌ | 34/40 [00:18<00:03, 1.84it/s] 88%|████████▊ | 35/40 [00:18<00:02, 1.84it/s] 90%|█████████ | 36/40 [00:19<00:02, 1.84it/s] 92%|█████████▎| 37/40 [00:20<00:01, 1.84it/s] 95%|█████████▌| 38/40 [00:20<00:01, 1.84it/s] 98%|█████████▊| 39/40 [00:21<00:00, 1.83it/s] 100%|██████████| 40/40 [00:21<00:00, 1.83it/s] 100%|██████████| 40/40 [00:21<00:00, 1.85it/s] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "EulerAncestralDiscreteScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Prediction
zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02IDwvx7ltdb32n2dpntwoei5zmimyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 1334
- width
- 768
- height
- 1024
- prompt
- photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot,8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3
- scheduler
- K_EULER_ANCESTRAL
- guidance_scale
- 7
- number_picture
- 4
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 1334, "width": 768, "height": 1024, "prompt": "photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot,8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", { input: { seed: 1334, width: 768, height: 1024, prompt: "photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot,8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", scheduler: "K_EULER_ANCESTRAL", guidance_scale: 7, number_picture: 4, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", input={ "seed": 1334, "width": 768, "height": 1024, "prompt": "photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot,8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot,8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T20:27:38.324114Z", "created_at": "2023-12-20T20:27:11.306049Z", "data_removed": false, "error": null, "id": "wvx7ltdb32n2dpntwoei5zmimy", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot,8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:20, 1.87it/s]\n 5%|▌ | 2/40 [00:01<00:20, 1.85it/s]\n 8%|▊ | 3/40 [00:01<00:20, 1.85it/s]\n 10%|█ | 4/40 [00:02<00:19, 1.85it/s]\n 12%|█▎ | 5/40 [00:02<00:18, 1.85it/s]\n 15%|█▌ | 6/40 [00:03<00:18, 1.84it/s]\n 18%|█▊ | 7/40 [00:03<00:17, 1.85it/s]\n 20%|██ | 8/40 [00:04<00:17, 1.85it/s]\n 22%|██▎ | 9/40 [00:04<00:16, 1.85it/s]\n 25%|██▌ | 10/40 [00:05<00:16, 1.85it/s]\n 28%|██▊ | 11/40 [00:05<00:15, 1.85it/s]\n 30%|███ | 12/40 [00:06<00:15, 1.85it/s]\n 32%|███▎ | 13/40 [00:07<00:14, 1.85it/s]\n 35%|███▌ | 14/40 [00:07<00:14, 1.85it/s]\n 38%|███▊ | 15/40 [00:08<00:13, 1.85it/s]\n 40%|████ | 16/40 [00:08<00:12, 1.85it/s]\n 42%|████▎ | 17/40 [00:09<00:12, 1.85it/s]\n 45%|████▌ | 18/40 [00:09<00:11, 1.85it/s]\n 48%|████▊ | 19/40 [00:10<00:11, 1.85it/s]\n 50%|█████ | 20/40 [00:10<00:10, 1.85it/s]\n 52%|█████▎ | 21/40 [00:11<00:10, 1.85it/s]\n 55%|█████▌ | 22/40 [00:11<00:09, 1.85it/s]\n 57%|█████▊ | 23/40 [00:12<00:09, 1.85it/s]\n 60%|██████ | 24/40 [00:12<00:08, 1.85it/s]\n 62%|██████▎ | 25/40 [00:13<00:08, 1.85it/s]\n 65%|██████▌ | 26/40 [00:14<00:07, 1.85it/s]\n 68%|██████▊ | 27/40 [00:14<00:07, 1.85it/s]\n 70%|███████ | 28/40 [00:15<00:06, 1.85it/s]\n 72%|███████▎ | 29/40 [00:15<00:05, 1.85it/s]\n 75%|███████▌ | 30/40 [00:16<00:05, 1.84it/s]\n 78%|███████▊ | 31/40 [00:16<00:04, 1.85it/s]\n 80%|████████ | 32/40 [00:17<00:04, 1.85it/s]\n 82%|████████▎ | 33/40 [00:17<00:03, 1.84it/s]\n 85%|████████▌ | 34/40 [00:18<00:03, 1.84it/s]\n 88%|████████▊ | 35/40 [00:18<00:02, 1.84it/s]\n 90%|█████████ | 36/40 [00:19<00:02, 1.84it/s]\n 92%|█████████▎| 37/40 [00:20<00:01, 1.84it/s]\n 95%|█████████▌| 38/40 [00:20<00:01, 1.84it/s]\n 98%|█████████▊| 39/40 [00:21<00:00, 1.84it/s]\n100%|██████████| 40/40 [00:21<00:00, 1.84it/s]\n100%|██████████| 40/40 [00:21<00:00, 1.85it/s]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"EulerAncestralDiscreteScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 26.982585, "total_time": 27.018065 }, "output": [ "https://replicate.delivery/pbxt/tNxhsQ4XzApaBNQiRvlK9t8swCJO4kO2ELMu2ETErA1NAEhE/output_0.png", "https://replicate.delivery/pbxt/x0W0JuUlzfXTZaeTL93a3H3Yctha2CukT2DdeTpz0c6xBgIkA/output_1.png", "https://replicate.delivery/pbxt/PwMw9pysNhZFIJxB0hSnMkWVCHR34zR3Vt2ziN3Q12bOAEhE/output_2.png", "https://replicate.delivery/pbxt/nix0UmpTlcpfB6Mffip71amPiClPRJxeMEcPUpQRB2rnDARIB/output_3.png" ], "started_at": "2023-12-20T20:27:11.341529Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wvx7ltdb32n2dpntwoei5zmimy", "cancel": "https://api.replicate.com/v1/predictions/wvx7ltdb32n2dpntwoei5zmimy/cancel" }, "version": "df519c61076bf3c510d6a4da94f7af36a3a4b0a46f3d1b606c9142d8df5c9f02" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:20, 1.87it/s] 5%|▌ | 2/40 [00:01<00:20, 1.85it/s] 8%|▊ | 3/40 [00:01<00:20, 1.85it/s] 10%|█ | 4/40 [00:02<00:19, 1.85it/s] 12%|█▎ | 5/40 [00:02<00:18, 1.85it/s] 15%|█▌ | 6/40 [00:03<00:18, 1.84it/s] 18%|█▊ | 7/40 [00:03<00:17, 1.85it/s] 20%|██ | 8/40 [00:04<00:17, 1.85it/s] 22%|██▎ | 9/40 [00:04<00:16, 1.85it/s] 25%|██▌ | 10/40 [00:05<00:16, 1.85it/s] 28%|██▊ | 11/40 [00:05<00:15, 1.85it/s] 30%|███ | 12/40 [00:06<00:15, 1.85it/s] 32%|███▎ | 13/40 [00:07<00:14, 1.85it/s] 35%|███▌ | 14/40 [00:07<00:14, 1.85it/s] 38%|███▊ | 15/40 [00:08<00:13, 1.85it/s] 40%|████ | 16/40 [00:08<00:12, 1.85it/s] 42%|████▎ | 17/40 [00:09<00:12, 1.85it/s] 45%|████▌ | 18/40 [00:09<00:11, 1.85it/s] 48%|████▊ | 19/40 [00:10<00:11, 1.85it/s] 50%|█████ | 20/40 [00:10<00:10, 1.85it/s] 52%|█████▎ | 21/40 [00:11<00:10, 1.85it/s] 55%|█████▌ | 22/40 [00:11<00:09, 1.85it/s] 57%|█████▊ | 23/40 [00:12<00:09, 1.85it/s] 60%|██████ | 24/40 [00:12<00:08, 1.85it/s] 62%|██████▎ | 25/40 [00:13<00:08, 1.85it/s] 65%|██████▌ | 26/40 [00:14<00:07, 1.85it/s] 68%|██████▊ | 27/40 [00:14<00:07, 1.85it/s] 70%|███████ | 28/40 [00:15<00:06, 1.85it/s] 72%|███████▎ | 29/40 [00:15<00:05, 1.85it/s] 75%|███████▌ | 30/40 [00:16<00:05, 1.84it/s] 78%|███████▊ | 31/40 [00:16<00:04, 1.85it/s] 80%|████████ | 32/40 [00:17<00:04, 1.85it/s] 82%|████████▎ | 33/40 [00:17<00:03, 1.84it/s] 85%|████████▌ | 34/40 [00:18<00:03, 1.84it/s] 88%|████████▊ | 35/40 [00:18<00:02, 1.84it/s] 90%|█████████ | 36/40 [00:19<00:02, 1.84it/s] 92%|█████████▎| 37/40 [00:20<00:01, 1.84it/s] 95%|█████████▌| 38/40 [00:20<00:01, 1.84it/s] 98%|█████████▊| 39/40 [00:21<00:00, 1.84it/s] 100%|██████████| 40/40 [00:21<00:00, 1.84it/s] 100%|██████████| 40/40 [00:21<00:00, 1.85it/s] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "EulerAncestralDiscreteScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Prediction
zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639aIDs6cfkglbvdftgrwajotg4s4kk4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 1334
- width
- 768
- height
- 1024
- prompt
- dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot
- scheduler
- DPM++ SDE Karras
- guidance_scale
- 7
- number_picture
- 4
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", { input: { seed: 1334, width: 768, height: 1024, prompt: "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", scheduler: "DPM++ SDE Karras", guidance_scale: 7, number_picture: 4, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", input={ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T21:58:07.252931Z", "created_at": "2023-12-20T21:57:18.925833Z", "data_removed": false, "error": null, "id": "s6cfkglbvdftgrwajotg4s4kk4", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "Using TRUE DPM SDE Karras\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:01<00:41, 1.07s/it]\n 5%|▌ | 2/40 [00:02<00:41, 1.08s/it]\n 8%|▊ | 3/40 [00:03<00:39, 1.08s/it]\n 10%|█ | 4/40 [00:04<00:38, 1.08s/it]\n 12%|█▎ | 5/40 [00:05<00:37, 1.08s/it]\n 15%|█▌ | 6/40 [00:06<00:36, 1.08s/it]\n 18%|█▊ | 7/40 [00:07<00:35, 1.08s/it]\n 20%|██ | 8/40 [00:08<00:34, 1.08s/it]\n 22%|██▎ | 9/40 [00:09<00:33, 1.08s/it]\n 25%|██▌ | 10/40 [00:10<00:32, 1.08s/it]\n 28%|██▊ | 11/40 [00:11<00:31, 1.08s/it]\n 30%|███ | 12/40 [00:12<00:30, 1.08s/it]\n 32%|███▎ | 13/40 [00:14<00:29, 1.08s/it]\n 35%|███▌ | 14/40 [00:15<00:28, 1.08s/it]\n 38%|███▊ | 15/40 [00:16<00:27, 1.08s/it]\n 40%|████ | 16/40 [00:17<00:25, 1.08s/it]\n 42%|████▎ | 17/40 [00:18<00:24, 1.08s/it]\n 45%|████▌ | 18/40 [00:19<00:23, 1.08s/it]\n 48%|████▊ | 19/40 [00:20<00:22, 1.08s/it]\n 50%|█████ | 20/40 [00:21<00:21, 1.08s/it]\n 52%|█████▎ | 21/40 [00:22<00:20, 1.08s/it]\n 55%|█████▌ | 22/40 [00:23<00:19, 1.08s/it]\n 57%|█████▊ | 23/40 [00:24<00:18, 1.09s/it]\n 60%|██████ | 24/40 [00:25<00:17, 1.09s/it]\n 62%|██████▎ | 25/40 [00:27<00:16, 1.09s/it]\n 65%|██████▌ | 26/40 [00:28<00:15, 1.09s/it]\n 68%|██████▊ | 27/40 [00:29<00:14, 1.09s/it]\n 70%|███████ | 28/40 [00:30<00:13, 1.09s/it]\n 72%|███████▎ | 29/40 [00:31<00:11, 1.08s/it]\n 75%|███████▌ | 30/40 [00:32<00:10, 1.08s/it]\n 78%|███████▊ | 31/40 [00:33<00:09, 1.08s/it]\n 80%|████████ | 32/40 [00:34<00:08, 1.08s/it]\n 82%|████████▎ | 33/40 [00:35<00:07, 1.08s/it]\n 85%|████████▌ | 34/40 [00:36<00:06, 1.08s/it]\n 88%|████████▊ | 35/40 [00:37<00:05, 1.08s/it]\n 90%|█████████ | 36/40 [00:38<00:04, 1.08s/it]\n 92%|█████████▎| 37/40 [00:40<00:03, 1.08s/it]\n 95%|█████████▌| 38/40 [00:41<00:02, 1.08s/it]\n 98%|█████████▊| 39/40 [00:42<00:01, 1.08s/it]\n100%|██████████| 40/40 [00:42<00:00, 1.09it/s]\n100%|██████████| 40/40 [00:42<00:00, 1.07s/it]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"DPMSolverSDEScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 48.24433, "total_time": 48.327098 }, "output": [ "https://replicate.delivery/pbxt/os71SNjrAtqzCpcmuHDje5mpAavTIrOJKnMyQOH4jSC2qICJA/output_0.png", "https://replicate.delivery/pbxt/iy8Bzh4X1BZQMxIWzPMxFT4B7WF0in2RZVVr41whej32qICJA/output_1.png", "https://replicate.delivery/pbxt/gpLW37vT04KSG5r0TpPAnjohYvFe3eabZnRRRdQnIutuVRESA/output_2.png", "https://replicate.delivery/pbxt/DhokPwyuq4ItK9UGyj68WA78Z81ygfIufqome0DyVGBdriIkA/output_3.png" ], "started_at": "2023-12-20T21:57:19.008601Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/s6cfkglbvdftgrwajotg4s4kk4", "cancel": "https://api.replicate.com/v1/predictions/s6cfkglbvdftgrwajotg4s4kk4/cancel" }, "version": "89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a" }
Generated inUsing TRUE DPM SDE Karras 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:41, 1.07s/it] 5%|▌ | 2/40 [00:02<00:41, 1.08s/it] 8%|▊ | 3/40 [00:03<00:39, 1.08s/it] 10%|█ | 4/40 [00:04<00:38, 1.08s/it] 12%|█▎ | 5/40 [00:05<00:37, 1.08s/it] 15%|█▌ | 6/40 [00:06<00:36, 1.08s/it] 18%|█▊ | 7/40 [00:07<00:35, 1.08s/it] 20%|██ | 8/40 [00:08<00:34, 1.08s/it] 22%|██▎ | 9/40 [00:09<00:33, 1.08s/it] 25%|██▌ | 10/40 [00:10<00:32, 1.08s/it] 28%|██▊ | 11/40 [00:11<00:31, 1.08s/it] 30%|███ | 12/40 [00:12<00:30, 1.08s/it] 32%|███▎ | 13/40 [00:14<00:29, 1.08s/it] 35%|███▌ | 14/40 [00:15<00:28, 1.08s/it] 38%|███▊ | 15/40 [00:16<00:27, 1.08s/it] 40%|████ | 16/40 [00:17<00:25, 1.08s/it] 42%|████▎ | 17/40 [00:18<00:24, 1.08s/it] 45%|████▌ | 18/40 [00:19<00:23, 1.08s/it] 48%|████▊ | 19/40 [00:20<00:22, 1.08s/it] 50%|█████ | 20/40 [00:21<00:21, 1.08s/it] 52%|█████▎ | 21/40 [00:22<00:20, 1.08s/it] 55%|█████▌ | 22/40 [00:23<00:19, 1.08s/it] 57%|█████▊ | 23/40 [00:24<00:18, 1.09s/it] 60%|██████ | 24/40 [00:25<00:17, 1.09s/it] 62%|██████▎ | 25/40 [00:27<00:16, 1.09s/it] 65%|██████▌ | 26/40 [00:28<00:15, 1.09s/it] 68%|██████▊ | 27/40 [00:29<00:14, 1.09s/it] 70%|███████ | 28/40 [00:30<00:13, 1.09s/it] 72%|███████▎ | 29/40 [00:31<00:11, 1.08s/it] 75%|███████▌ | 30/40 [00:32<00:10, 1.08s/it] 78%|███████▊ | 31/40 [00:33<00:09, 1.08s/it] 80%|████████ | 32/40 [00:34<00:08, 1.08s/it] 82%|████████▎ | 33/40 [00:35<00:07, 1.08s/it] 85%|████████▌ | 34/40 [00:36<00:06, 1.08s/it] 88%|████████▊ | 35/40 [00:37<00:05, 1.08s/it] 90%|█████████ | 36/40 [00:38<00:04, 1.08s/it] 92%|█████████▎| 37/40 [00:40<00:03, 1.08s/it] 95%|█████████▌| 38/40 [00:41<00:02, 1.08s/it] 98%|█████████▊| 39/40 [00:42<00:01, 1.08s/it] 100%|██████████| 40/40 [00:42<00:00, 1.09it/s] 100%|██████████| 40/40 [00:42<00:00, 1.07s/it] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "DPMSolverSDEScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Prediction
zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639aIDfxj5e4lb7nyofastvgoyzfgwgmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 1334
- width
- 768
- height
- 1024
- prompt
- dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot
- scheduler
- K_EULER
- guidance_scale
- 7
- number_picture
- 4
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", { input: { seed: 1334, width: 768, height: 1024, prompt: "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", scheduler: "K_EULER", guidance_scale: 7, number_picture: 4, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", input={ "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T22:00:26.616904Z", "created_at": "2023-12-20T21:59:59.405322Z", "data_removed": false, "error": null, "id": "fxj5e4lb7nyofastvgoyzfgwgm", "input": { "seed": 1334, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "K_EULER", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:21, 1.85it/s]\n 5%|▌ | 2/40 [00:01<00:20, 1.84it/s]\n 8%|▊ | 3/40 [00:01<00:20, 1.84it/s]\n 10%|█ | 4/40 [00:02<00:19, 1.84it/s]\n 12%|█▎ | 5/40 [00:02<00:19, 1.84it/s]\n 15%|█▌ | 6/40 [00:03<00:18, 1.84it/s]\n 18%|█▊ | 7/40 [00:03<00:17, 1.85it/s]\n 20%|██ | 8/40 [00:04<00:17, 1.85it/s]\n 22%|██▎ | 9/40 [00:04<00:16, 1.85it/s]\n 25%|██▌ | 10/40 [00:05<00:16, 1.85it/s]\n 28%|██▊ | 11/40 [00:05<00:15, 1.85it/s]\n 30%|███ | 12/40 [00:06<00:15, 1.85it/s]\n 32%|███▎ | 13/40 [00:07<00:14, 1.85it/s]\n 35%|███▌ | 14/40 [00:07<00:14, 1.85it/s]\n 38%|███▊ | 15/40 [00:08<00:13, 1.85it/s]\n 40%|████ | 16/40 [00:08<00:13, 1.84it/s]\n 42%|████▎ | 17/40 [00:09<00:12, 1.84it/s]\n 45%|████▌ | 18/40 [00:09<00:11, 1.84it/s]\n 48%|████▊ | 19/40 [00:10<00:11, 1.84it/s]\n 50%|█████ | 20/40 [00:10<00:10, 1.84it/s]\n 52%|█████▎ | 21/40 [00:11<00:10, 1.84it/s]\n 55%|█████▌ | 22/40 [00:11<00:09, 1.84it/s]\n 57%|█████▊ | 23/40 [00:12<00:09, 1.84it/s]\n 60%|██████ | 24/40 [00:13<00:08, 1.84it/s]\n 62%|██████▎ | 25/40 [00:13<00:08, 1.84it/s]\n 65%|██████▌ | 26/40 [00:14<00:07, 1.84it/s]\n 68%|██████▊ | 27/40 [00:14<00:07, 1.84it/s]\n 70%|███████ | 28/40 [00:15<00:06, 1.84it/s]\n 72%|███████▎ | 29/40 [00:15<00:05, 1.84it/s]\n 75%|███████▌ | 30/40 [00:16<00:05, 1.84it/s]\n 78%|███████▊ | 31/40 [00:16<00:04, 1.84it/s]\n 80%|████████ | 32/40 [00:17<00:04, 1.84it/s]\n 82%|████████▎ | 33/40 [00:17<00:03, 1.84it/s]\n 85%|████████▌ | 34/40 [00:18<00:03, 1.83it/s]\n 88%|████████▊ | 35/40 [00:19<00:02, 1.83it/s]\n 90%|█████████ | 36/40 [00:19<00:02, 1.83it/s]\n 92%|█████████▎| 37/40 [00:20<00:01, 1.83it/s]\n 95%|█████████▌| 38/40 [00:20<00:01, 1.83it/s]\n 98%|█████████▊| 39/40 [00:21<00:00, 1.82it/s]\n100%|██████████| 40/40 [00:21<00:00, 1.83it/s]\n100%|██████████| 40/40 [00:21<00:00, 1.84it/s]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"EulerDiscreteScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 27.173719, "total_time": 27.211582 }, "output": [ "https://replicate.delivery/pbxt/ehf5fv2UjQXzOpelOr7ZdlVEebgYYuvZ6ImRzSzma7ZEfVEhE/output_0.png", "https://replicate.delivery/pbxt/wGUrghsPiEocD1eMPJIgeVUoeteb1VvOPfmsSeejvN9g8rICJA/output_1.png", "https://replicate.delivery/pbxt/4iy05p8fStxUL6DYYd37DZpvPCVeU5PvpbFLv5ueJfolfKiQC/output_2.png", "https://replicate.delivery/pbxt/xBHYxQlOXooUKpLsPHkjYGfAbhi63tCPDHaWThQZ47D9rICJA/output_3.png" ], "started_at": "2023-12-20T21:59:59.443185Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fxj5e4lb7nyofastvgoyzfgwgm", "cancel": "https://api.replicate.com/v1/predictions/fxj5e4lb7nyofastvgoyzfgwgm/cancel" }, "version": "89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:21, 1.85it/s] 5%|▌ | 2/40 [00:01<00:20, 1.84it/s] 8%|▊ | 3/40 [00:01<00:20, 1.84it/s] 10%|█ | 4/40 [00:02<00:19, 1.84it/s] 12%|█▎ | 5/40 [00:02<00:19, 1.84it/s] 15%|█▌ | 6/40 [00:03<00:18, 1.84it/s] 18%|█▊ | 7/40 [00:03<00:17, 1.85it/s] 20%|██ | 8/40 [00:04<00:17, 1.85it/s] 22%|██▎ | 9/40 [00:04<00:16, 1.85it/s] 25%|██▌ | 10/40 [00:05<00:16, 1.85it/s] 28%|██▊ | 11/40 [00:05<00:15, 1.85it/s] 30%|███ | 12/40 [00:06<00:15, 1.85it/s] 32%|███▎ | 13/40 [00:07<00:14, 1.85it/s] 35%|███▌ | 14/40 [00:07<00:14, 1.85it/s] 38%|███▊ | 15/40 [00:08<00:13, 1.85it/s] 40%|████ | 16/40 [00:08<00:13, 1.84it/s] 42%|████▎ | 17/40 [00:09<00:12, 1.84it/s] 45%|████▌ | 18/40 [00:09<00:11, 1.84it/s] 48%|████▊ | 19/40 [00:10<00:11, 1.84it/s] 50%|█████ | 20/40 [00:10<00:10, 1.84it/s] 52%|█████▎ | 21/40 [00:11<00:10, 1.84it/s] 55%|█████▌ | 22/40 [00:11<00:09, 1.84it/s] 57%|█████▊ | 23/40 [00:12<00:09, 1.84it/s] 60%|██████ | 24/40 [00:13<00:08, 1.84it/s] 62%|██████▎ | 25/40 [00:13<00:08, 1.84it/s] 65%|██████▌ | 26/40 [00:14<00:07, 1.84it/s] 68%|██████▊ | 27/40 [00:14<00:07, 1.84it/s] 70%|███████ | 28/40 [00:15<00:06, 1.84it/s] 72%|███████▎ | 29/40 [00:15<00:05, 1.84it/s] 75%|███████▌ | 30/40 [00:16<00:05, 1.84it/s] 78%|███████▊ | 31/40 [00:16<00:04, 1.84it/s] 80%|████████ | 32/40 [00:17<00:04, 1.84it/s] 82%|████████▎ | 33/40 [00:17<00:03, 1.84it/s] 85%|████████▌ | 34/40 [00:18<00:03, 1.83it/s] 88%|████████▊ | 35/40 [00:19<00:02, 1.83it/s] 90%|█████████ | 36/40 [00:19<00:02, 1.83it/s] 92%|█████████▎| 37/40 [00:20<00:01, 1.83it/s] 95%|█████████▌| 38/40 [00:20<00:01, 1.83it/s] 98%|█████████▊| 39/40 [00:21<00:00, 1.82it/s] 100%|██████████| 40/40 [00:21<00:00, 1.83it/s] 100%|██████████| 40/40 [00:21<00:00, 1.84it/s] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "EulerDiscreteScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Prediction
zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639aIDlap2g73b4au4jgz5mg45xu4u34StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 1336
- width
- 768
- height
- 1024
- prompt
- dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot
- scheduler
- DPM++ SDE Karras
- guidance_scale
- 7
- number_picture
- 4
- negative_prompt
- Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream
- num_inference_steps
- 40
{ "seed": 1336, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", { input: { seed: 1336, width: 768, height: 1024, prompt: "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", scheduler: "DPM++ SDE Karras", guidance_scale: 7, number_picture: 4, negative_prompt: "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", num_inference_steps: 40 } } ); // 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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", input={ "seed": 1336, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run zelenioncode/custum_model_safetonsors 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": "zelenioncode/custum_model_safetonsors:89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a", "input": { "seed": 1336, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T22:05:23.633284Z", "created_at": "2023-12-20T22:04:35.339376Z", "data_removed": false, "error": null, "id": "lap2g73b4au4jgz5mg45xu4u34", "input": { "seed": 1336, "width": 768, "height": 1024, "prompt": "dark shot, photo of a cute ohwx woman, perfect eyes, natural skin, skin moles, cinematic shot", "scheduler": "DPM++ SDE Karras", "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, UnrealisticDream", "num_inference_steps": 40 }, "logs": "Using TRUE DPM SDE Karras\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:01<00:42, 1.08s/it]\n 5%|▌ | 2/40 [00:02<00:41, 1.08s/it]\n 8%|▊ | 3/40 [00:03<00:40, 1.08s/it]\n 10%|█ | 4/40 [00:04<00:38, 1.08s/it]\n 12%|█▎ | 5/40 [00:05<00:37, 1.08s/it]\n 15%|█▌ | 6/40 [00:06<00:36, 1.08s/it]\n 18%|█▊ | 7/40 [00:07<00:35, 1.08s/it]\n 20%|██ | 8/40 [00:08<00:34, 1.08s/it]\n 22%|██▎ | 9/40 [00:09<00:33, 1.08s/it]\n 25%|██▌ | 10/40 [00:10<00:32, 1.08s/it]\n 28%|██▊ | 11/40 [00:11<00:31, 1.08s/it]\n 30%|███ | 12/40 [00:12<00:30, 1.08s/it]\n 32%|███▎ | 13/40 [00:14<00:29, 1.08s/it]\n 35%|███▌ | 14/40 [00:15<00:28, 1.08s/it]\n 38%|███▊ | 15/40 [00:16<00:27, 1.08s/it]\n 40%|████ | 16/40 [00:17<00:25, 1.08s/it]\n 42%|████▎ | 17/40 [00:18<00:24, 1.08s/it]\n 45%|████▌ | 18/40 [00:19<00:23, 1.08s/it]\n 48%|████▊ | 19/40 [00:20<00:22, 1.08s/it]\n 50%|█████ | 20/40 [00:21<00:21, 1.08s/it]\n 52%|█████▎ | 21/40 [00:22<00:20, 1.08s/it]\n 55%|█████▌ | 22/40 [00:23<00:19, 1.08s/it]\n 57%|█████▊ | 23/40 [00:24<00:18, 1.08s/it]\n 60%|██████ | 24/40 [00:25<00:17, 1.08s/it]\n 62%|██████▎ | 25/40 [00:27<00:16, 1.08s/it]\n 65%|██████▌ | 26/40 [00:28<00:15, 1.08s/it]\n 68%|██████▊ | 27/40 [00:29<00:14, 1.08s/it]\n 70%|███████ | 28/40 [00:30<00:13, 1.08s/it]\n 72%|███████▎ | 29/40 [00:31<00:11, 1.09s/it]\n 75%|███████▌ | 30/40 [00:32<00:10, 1.09s/it]\n 78%|███████▊ | 31/40 [00:33<00:09, 1.09s/it]\n 80%|████████ | 32/40 [00:34<00:08, 1.09s/it]\n 82%|████████▎ | 33/40 [00:35<00:07, 1.09s/it]\n 85%|████████▌ | 34/40 [00:36<00:06, 1.09s/it]\n 88%|████████▊ | 35/40 [00:37<00:05, 1.09s/it]\n 90%|█████████ | 36/40 [00:38<00:04, 1.09s/it]\n 92%|█████████▎| 37/40 [00:40<00:03, 1.08s/it]\n 95%|█████████▌| 38/40 [00:41<00:02, 1.08s/it]\n 98%|█████████▊| 39/40 [00:42<00:01, 1.08s/it]\n100%|██████████| 40/40 [00:42<00:00, 1.09it/s]\n100%|██████████| 40/40 [00:42<00:00, 1.07s/it]\nStableDiffusionXLPipeline {\n\"_class_name\": \"StableDiffusionXLPipeline\",\n\"_diffusers_version\": \"0.24.0\",\n\"feature_extractor\": [\nnull,\nnull\n],\n\"force_zeros_for_empty_prompt\": true,\n\"image_encoder\": [\nnull,\nnull\n],\n\"scheduler\": [\n\"diffusers\",\n\"DPMSolverSDEScheduler\"\n],\n\"text_encoder\": [\n\"transformers\",\n\"CLIPTextModel\"\n],\n\"text_encoder_2\": [\n\"transformers\",\n\"CLIPTextModelWithProjection\"\n],\n\"tokenizer\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"tokenizer_2\": [\n\"transformers\",\n\"CLIPTokenizer\"\n],\n\"unet\": [\n\"diffusers\",\n\"UNet2DConditionModel\"\n],\n\"vae\": [\n\"diffusers\",\n\"AutoencoderKL\"\n]\n}", "metrics": { "predict_time": 48.245509, "total_time": 48.293908 }, "output": [ "https://replicate.delivery/pbxt/IUuyKKTCTEYmD5eCsAHd0q3kK12bfaKU7q4gG0LfihxD5iIkA/output_0.png", "https://replicate.delivery/pbxt/MT6xu2NPomJFN1cd8WpOdBv57sEnOSRUNGipI3HpkGmIXEhE/output_1.png", "https://replicate.delivery/pbxt/LHaGd6xyJLaMF91jwfqamMcn5yHxHNaGhIDSDelg4OaicRESA/output_2.png", "https://replicate.delivery/pbxt/dZlEP4oInfSZFCI3FKkeI60XEGjkEuwSrrHX3RR2issjcRESA/output_3.png" ], "started_at": "2023-12-20T22:04:35.387775Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/lap2g73b4au4jgz5mg45xu4u34", "cancel": "https://api.replicate.com/v1/predictions/lap2g73b4au4jgz5mg45xu4u34/cancel" }, "version": "89fdc1904d97ee171c55b8d8bbdddab4b670598b016cd87e1de149808519639a" }
Generated inUsing TRUE DPM SDE Karras 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:42, 1.08s/it] 5%|▌ | 2/40 [00:02<00:41, 1.08s/it] 8%|▊ | 3/40 [00:03<00:40, 1.08s/it] 10%|█ | 4/40 [00:04<00:38, 1.08s/it] 12%|█▎ | 5/40 [00:05<00:37, 1.08s/it] 15%|█▌ | 6/40 [00:06<00:36, 1.08s/it] 18%|█▊ | 7/40 [00:07<00:35, 1.08s/it] 20%|██ | 8/40 [00:08<00:34, 1.08s/it] 22%|██▎ | 9/40 [00:09<00:33, 1.08s/it] 25%|██▌ | 10/40 [00:10<00:32, 1.08s/it] 28%|██▊ | 11/40 [00:11<00:31, 1.08s/it] 30%|███ | 12/40 [00:12<00:30, 1.08s/it] 32%|███▎ | 13/40 [00:14<00:29, 1.08s/it] 35%|███▌ | 14/40 [00:15<00:28, 1.08s/it] 38%|███▊ | 15/40 [00:16<00:27, 1.08s/it] 40%|████ | 16/40 [00:17<00:25, 1.08s/it] 42%|████▎ | 17/40 [00:18<00:24, 1.08s/it] 45%|████▌ | 18/40 [00:19<00:23, 1.08s/it] 48%|████▊ | 19/40 [00:20<00:22, 1.08s/it] 50%|█████ | 20/40 [00:21<00:21, 1.08s/it] 52%|█████▎ | 21/40 [00:22<00:20, 1.08s/it] 55%|█████▌ | 22/40 [00:23<00:19, 1.08s/it] 57%|█████▊ | 23/40 [00:24<00:18, 1.08s/it] 60%|██████ | 24/40 [00:25<00:17, 1.08s/it] 62%|██████▎ | 25/40 [00:27<00:16, 1.08s/it] 65%|██████▌ | 26/40 [00:28<00:15, 1.08s/it] 68%|██████▊ | 27/40 [00:29<00:14, 1.08s/it] 70%|███████ | 28/40 [00:30<00:13, 1.08s/it] 72%|███████▎ | 29/40 [00:31<00:11, 1.09s/it] 75%|███████▌ | 30/40 [00:32<00:10, 1.09s/it] 78%|███████▊ | 31/40 [00:33<00:09, 1.09s/it] 80%|████████ | 32/40 [00:34<00:08, 1.09s/it] 82%|████████▎ | 33/40 [00:35<00:07, 1.09s/it] 85%|████████▌ | 34/40 [00:36<00:06, 1.09s/it] 88%|████████▊ | 35/40 [00:37<00:05, 1.09s/it] 90%|█████████ | 36/40 [00:38<00:04, 1.09s/it] 92%|█████████▎| 37/40 [00:40<00:03, 1.08s/it] 95%|█████████▌| 38/40 [00:41<00:02, 1.08s/it] 98%|█████████▊| 39/40 [00:42<00:01, 1.08s/it] 100%|██████████| 40/40 [00:42<00:00, 1.09it/s] 100%|██████████| 40/40 [00:42<00:00, 1.07s/it] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "DPMSolverSDEScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
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