cloneofsimo / portraitplus_lora
https://huggingface.co/wavymulder/portraitplus
- Public
- 7.1K runs
-
A100 (80GB)
Prediction
cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51dInput
- width
- 512
- height
- 512
- prompt
- portrait+ style, a photo of <1> on mars
- lora_urls
- https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors
- scheduler
- DPMSolverMultistep
- lora_scales
- 0.5
- num_outputs
- 1
- adapter_type
- keypose
- guidance_scale
- "5.5"
- prompt_strength
- 0.8
- num_inference_steps
- 50
- adapter_condtion_image
{ "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on mars", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.8, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run cloneofsimo/portraitplus_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d", { input: { width: 512, height: 512, prompt: "portrait+ style, a photo of <1> on mars", lora_urls: "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", scheduler: "DPMSolverMultistep", lora_scales: "0.5", num_outputs: 1, adapter_type: "keypose", guidance_scale: "5.5", prompt_strength: 0.8, num_inference_steps: 50, adapter_condtion_image: "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun cloneofsimo/portraitplus_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d", input={ "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on mars", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.8, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run cloneofsimo/portraitplus_lora 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": "cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d", "input": { "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on mars", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.8, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-03-01T00:51:21.510149Z", "created_at": "2023-03-01T00:51:13.957342Z", "data_removed": false, "error": null, "id": "6kciaub6kbejnjhe3ogermwbna", "input": { "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on mars", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.8, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" }, "logs": "Using seed: 53960\nThe requested LoRAs are loaded.\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:06, 7.87it/s]\n 4%|▍ | 2/50 [00:00<00:05, 8.19it/s]\n 6%|▌ | 3/50 [00:00<00:05, 7.88it/s]\n 8%|▊ | 4/50 [00:00<00:05, 7.67it/s]\n 10%|█ | 5/50 [00:00<00:05, 7.69it/s]\n 12%|█▏ | 6/50 [00:00<00:05, 7.94it/s]\n 14%|█▍ | 7/50 [00:00<00:05, 8.10it/s]\n 16%|█▌ | 8/50 [00:01<00:05, 8.16it/s]\n 18%|█▊ | 9/50 [00:01<00:05, 8.05it/s]\n 20%|██ | 10/50 [00:01<00:04, 8.16it/s]\n 22%|██▏ | 11/50 [00:01<00:04, 8.28it/s]\n 24%|██▍ | 12/50 [00:01<00:04, 8.53it/s]\n 26%|██▌ | 13/50 [00:01<00:04, 8.39it/s]\n 28%|██▊ | 14/50 [00:01<00:04, 8.38it/s]\n 30%|███ | 15/50 [00:01<00:04, 8.18it/s]\n 32%|███▏ | 16/50 [00:01<00:04, 8.13it/s]\n 34%|███▍ | 17/50 [00:02<00:03, 8.29it/s]\n 36%|███▌ | 18/50 [00:02<00:03, 8.45it/s]\n 38%|███▊ | 19/50 [00:02<00:03, 8.58it/s]\n 40%|████ | 20/50 [00:02<00:03, 8.53it/s]\n 42%|████▏ | 21/50 [00:02<00:03, 8.32it/s]\n 44%|████▍ | 22/50 [00:02<00:03, 8.25it/s]\n 46%|████▌ | 23/50 [00:02<00:03, 7.98it/s]\n 48%|████▊ | 24/50 [00:02<00:03, 7.89it/s]\n 50%|█████ | 25/50 [00:03<00:03, 7.91it/s]\n 52%|█████▏ | 26/50 [00:03<00:02, 8.26it/s]\n 54%|█████▍ | 27/50 [00:03<00:02, 8.59it/s]\n 56%|█████▌ | 28/50 [00:03<00:02, 8.37it/s]\n 58%|█████▊ | 29/50 [00:03<00:02, 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8.22it/s]\n100%|██████████| 50/50 [00:06<00:00, 8.09it/s]", "metrics": { "predict_time": 7.490276, "total_time": 7.552807 }, "output": [ "https://replicate.delivery/pbxt/pDAtuRsNzi6hLBaDWSShpddcx5JBe4B0wNfkeSUEeORj4UMCB/out-0.png" ], "started_at": "2023-03-01T00:51:14.019873Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6kciaub6kbejnjhe3ogermwbna", "cancel": "https://api.replicate.com/v1/predictions/6kciaub6kbejnjhe3ogermwbna/cancel" }, "version": "05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d" }Generated inUsing seed: 53960 The requested LoRAs are loaded. 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:06, 7.87it/s] 4%|▍ | 2/50 [00:00<00:05, 8.19it/s] 6%|▌ | 3/50 [00:00<00:05, 7.88it/s] 8%|▊ | 4/50 [00:00<00:05, 7.67it/s] 10%|█ | 5/50 [00:00<00:05, 7.69it/s] 12%|█▏ | 6/50 [00:00<00:05, 7.94it/s] 14%|█▍ | 7/50 [00:00<00:05, 8.10it/s] 16%|█▌ | 8/50 [00:01<00:05, 8.16it/s] 18%|█▊ | 9/50 [00:01<00:05, 8.05it/s] 20%|██ | 10/50 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cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51dIDrw6aakynnnfhdarvhexaqksgcyStatusSucceededSourceWebHardware–Total durationCreatedInput
- image
- width
- 512
- height
- 512
- prompt
- portrait+ style, a photo of <1> on moon
- lora_urls
- https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors
- scheduler
- DPMSolverMultistep
- lora_scales
- 0.5
- num_outputs
- 1
- adapter_type
- keypose
- guidance_scale
- "5.5"
- prompt_strength
- 0.89
- num_inference_steps
- 50
- adapter_condtion_image
{ "image": "https://replicate.delivery/pbxt/IObG7mmXSS4bzHy2eM9Xd4pzAZFz5WY2uGCwhMojUcgzj19f/color.png", "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on moon", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.89, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run cloneofsimo/portraitplus_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d", { input: { image: "https://replicate.delivery/pbxt/IObG7mmXSS4bzHy2eM9Xd4pzAZFz5WY2uGCwhMojUcgzj19f/color.png", width: 512, height: 512, prompt: "portrait+ style, a photo of <1> on moon", lora_urls: "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", scheduler: "DPMSolverMultistep", lora_scales: "0.5", num_outputs: 1, adapter_type: "keypose", guidance_scale: "5.5", prompt_strength: 0.89, num_inference_steps: 50, adapter_condtion_image: "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun cloneofsimo/portraitplus_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d", input={ "image": "https://replicate.delivery/pbxt/IObG7mmXSS4bzHy2eM9Xd4pzAZFz5WY2uGCwhMojUcgzj19f/color.png", "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on moon", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.89, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run cloneofsimo/portraitplus_lora 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": "cloneofsimo/portraitplus_lora:05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d", "input": { "image": "https://replicate.delivery/pbxt/IObG7mmXSS4bzHy2eM9Xd4pzAZFz5WY2uGCwhMojUcgzj19f/color.png", "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on moon", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.89, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-03-01T01:25:51.039618Z", "created_at": "2023-03-01T01:25:45.314194Z", "data_removed": false, "error": null, "id": "rw6aakynnnfhdarvhexaqksgcy", "input": { "image": "https://replicate.delivery/pbxt/IObG7mmXSS4bzHy2eM9Xd4pzAZFz5WY2uGCwhMojUcgzj19f/color.png", "width": 512, "height": 512, "prompt": "portrait+ style, a photo of <1> on moon", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.5", "num_outputs": 1, "adapter_type": "keypose", "guidance_scale": "5.5", "prompt_strength": 0.89, "num_inference_steps": 50, "adapter_condtion_image": "https://replicate.delivery/pbxt/IOajPfw4P6cXcFp6SUOzgBl1wlq3Wb5qgDdAhKaeuL55skYB/keypose_0%20copy.png" }, "logs": "Using seed: 56496\nThe requested LoRAs are loaded.\n 0%| | 0/44 [00:00<?, ?it/s]\n 2%|▏ | 1/44 [00:00<00:05, 8.40it/s]\n 5%|▍ | 2/44 [00:00<00:04, 8.50it/s]\n 9%|▉ | 4/44 [00:00<00:04, 9.31it/s]\n 11%|█▏ | 5/44 [00:00<00:04, 9.15it/s]\n 14%|█▎ | 6/44 [00:00<00:04, 9.16it/s]\n 18%|█▊ | 8/44 [00:00<00:03, 9.54it/s]\n 23%|██▎ | 10/44 [00:01<00:03, 9.76it/s]\n 25%|██▌ | 11/44 [00:01<00:03, 9.55it/s]\n 27%|██▋ | 12/44 [00:01<00:03, 9.34it/s]\n 30%|██▉ | 13/44 [00:01<00:03, 9.40it/s]\n 32%|███▏ | 14/44 [00:01<00:03, 9.53it/s]\n 36%|███▋ | 16/44 [00:01<00:02, 9.61it/s]\n 41%|████ | 18/44 [00:01<00:02, 9.75it/s]\n 43%|████▎ | 19/44 [00:02<00:02, 9.46it/s]\n 45%|████▌ | 20/44 [00:02<00:02, 9.33it/s]\n 48%|████▊ | 21/44 [00:02<00:02, 9.13it/s]\n 50%|█████ | 22/44 [00:02<00:02, 8.95it/s]\n 52%|█████▏ | 23/44 [00:02<00:02, 9.14it/s]\n 55%|█████▍ | 24/44 [00:02<00:02, 8.95it/s]\n 57%|█████▋ | 25/44 [00:02<00:02, 8.91it/s]\n 59%|█████▉ | 26/44 [00:02<00:01, 9.15it/s]\n 61%|██████▏ | 27/44 [00:02<00:01, 9.23it/s]\n 64%|██████▎ | 28/44 [00:03<00:01, 8.92it/s]\n 66%|██████▌ | 29/44 [00:03<00:01, 8.85it/s]\n 68%|██████▊ | 30/44 [00:03<00:01, 8.92it/s]\n 70%|███████ | 31/44 [00:03<00:01, 9.15it/s]\n 73%|███████▎ | 32/44 [00:03<00:01, 9.13it/s]\n 75%|███████▌ | 33/44 [00:03<00:01, 9.37it/s]\n 77%|███████▋ | 34/44 [00:03<00:01, 9.48it/s]\n 80%|███████▉ | 35/44 [00:03<00:00, 9.07it/s]\n 84%|████████▍ | 37/44 [00:03<00:00, 9.38it/s]\n 86%|████████▋ | 38/44 [00:04<00:00, 9.37it/s]\n 91%|█████████ | 40/44 [00:04<00:00, 9.48it/s]\n 95%|█████████▌| 42/44 [00:04<00:00, 9.82it/s]\n 98%|█████████▊| 43/44 [00:04<00:00, 9.55it/s]\n100%|██████████| 44/44 [00:04<00:00, 9.29it/s]\n100%|██████████| 44/44 [00:04<00:00, 9.30it/s]", "metrics": { "predict_time": 5.665645, "total_time": 5.725424 }, "output": [ "https://replicate.delivery/pbxt/JyiBha4TgS5JAB6vyPl7JPkBNUF6dJGPXepgkI9ZuaQP3iRIA/out-0.png" ], "started_at": "2023-03-01T01:25:45.373973Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rw6aakynnnfhdarvhexaqksgcy", "cancel": "https://api.replicate.com/v1/predictions/rw6aakynnnfhdarvhexaqksgcy/cancel" }, "version": "05b271b5797e28ea3dc055783a1d98b6e611833f6f9cb35037bc33702aead51d" }Generated inUsing seed: 56496 The requested LoRAs are loaded. 0%| | 0/44 [00:00<?, ?it/s] 2%|▏ | 1/44 [00:00<00:05, 8.40it/s] 5%|▍ | 2/44 [00:00<00:04, 8.50it/s] 9%|▉ | 4/44 [00:00<00:04, 9.31it/s] 11%|█▏ | 5/44 [00:00<00:04, 9.15it/s] 14%|█▎ | 6/44 [00:00<00:04, 9.16it/s] 18%|█▊ | 8/44 [00:00<00:03, 9.54it/s] 23%|██▎ | 10/44 [00:01<00:03, 9.76it/s] 25%|██▌ | 11/44 [00:01<00:03, 9.55it/s] 27%|██▋ | 12/44 [00:01<00:03, 9.34it/s] 30%|██▉ | 13/44 [00:01<00:03, 9.40it/s] 32%|███▏ | 14/44 [00:01<00:03, 9.53it/s] 36%|███▋ | 16/44 [00:01<00:02, 9.61it/s] 41%|████ | 18/44 [00:01<00:02, 9.75it/s] 43%|████▎ | 19/44 [00:02<00:02, 9.46it/s] 45%|████▌ | 20/44 [00:02<00:02, 9.33it/s] 48%|████▊ | 21/44 [00:02<00:02, 9.13it/s] 50%|█████ | 22/44 [00:02<00:02, 8.95it/s] 52%|█████▏ | 23/44 [00:02<00:02, 9.14it/s] 55%|█████▍ | 24/44 [00:02<00:02, 8.95it/s] 57%|█████▋ | 25/44 [00:02<00:02, 8.91it/s] 59%|█████▉ | 26/44 [00:02<00:01, 9.15it/s] 61%|██████▏ | 27/44 [00:02<00:01, 9.23it/s] 64%|██████▎ | 28/44 [00:03<00:01, 8.92it/s] 66%|██████▌ | 29/44 [00:03<00:01, 8.85it/s] 68%|██████▊ | 30/44 [00:03<00:01, 8.92it/s] 70%|███████ | 31/44 [00:03<00:01, 9.15it/s] 73%|███████▎ | 32/44 [00:03<00:01, 9.13it/s] 75%|███████▌ | 33/44 [00:03<00:01, 9.37it/s] 77%|███████▋ | 34/44 [00:03<00:01, 9.48it/s] 80%|███████▉ | 35/44 [00:03<00:00, 9.07it/s] 84%|████████▍ | 37/44 [00:03<00:00, 9.38it/s] 86%|████████▋ | 38/44 [00:04<00:00, 9.37it/s] 91%|█████████ | 40/44 [00:04<00:00, 9.48it/s] 95%|█████████▌| 42/44 [00:04<00:00, 9.82it/s] 98%|█████████▊| 43/44 [00:04<00:00, 9.55it/s] 100%|██████████| 44/44 [00:04<00:00, 9.29it/s] 100%|██████████| 44/44 [00:04<00:00, 9.30it/s]
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