lucataco / pasd-magnify
(Academic and Non-commercial use only) Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization (Updated 1 year, 5 months ago)
Prediction
lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195IDwo45dqtbfv6zj3pwqldqj3qbxeStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- Frog, clean, high-resolution, 8k, best quality, masterpiece
- n_prompt
- dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- denoise_steps
- 20
- guidance_scale
- 7.5
- upsample_scale
- 2
- conditioning_scale
- 1.1
{ "image": "https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png", "prompt": "Frog, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", { input: { image: "https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png", prompt: "Frog, clean, high-resolution, 8k, best quality, masterpiece", n_prompt: "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", denoise_steps: 20, guidance_scale: 7.5, upsample_scale: 2, conditioning_scale: 1.1 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", input={ "image": "https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png", "prompt": "Frog, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", "input": { "image": "https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png", "prompt": "Frog, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195 \ -i 'image="https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png"' \ -i 'prompt="Frog, clean, high-resolution, 8k, best quality, masterpiece"' \ -i 'n_prompt="dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"' \ -i 'denoise_steps=20' \ -i 'guidance_scale=7.5' \ -i 'upsample_scale=2' \ -i 'conditioning_scale=1.1'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png", "prompt": "Frog, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
We were unable to load these images. Please make sure the URLs are valid.
{ "input": "https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png", "outut": "https://replicate.delivery/pbxt/MGJy2aTpJB7dI1sQ49nfZpdQh2pesLIF6cC22ySbGo0LhcKSA/output-20240108153527.jpg" }{ "completed_at": "2024-01-08T15:35:40.256846Z", "created_at": "2024-01-08T15:33:16.794743Z", "data_removed": false, "error": null, "id": "wo45dqtbfv6zj3pwqldqj3qbxe", "input": { "image": "https://replicate.delivery/pbxt/KBuUhAMqvkXfjTqqOyg1TqIXSzgUhCbjIzaFoNb7fUdkK685/frog.png", "prompt": "Frog, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }, "logs": "Using seed: 2896644955\nSeed set to 2896644955\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:12, 1.54it/s]\n 10%|█ | 2/20 [00:01<00:10, 1.76it/s]\n 15%|█▌ | 3/20 [00:01<00:09, 1.82it/s]\n 20%|██ | 4/20 [00:02<00:08, 1.86it/s]\n 25%|██▌ | 5/20 [00:02<00:07, 1.89it/s]\n 30%|███ | 6/20 [00:03<00:07, 1.90it/s]\n 35%|███▌ | 7/20 [00:03<00:06, 1.91it/s]\n 40%|████ | 8/20 [00:04<00:06, 1.91it/s]\n 45%|████▌ | 9/20 [00:04<00:05, 1.92it/s]\n 50%|█████ | 10/20 [00:05<00:05, 1.92it/s]\n 55%|█████▌ | 11/20 [00:05<00:04, 1.92it/s]\n 60%|██████ | 12/20 [00:06<00:04, 1.92it/s]\n 65%|██████▌ | 13/20 [00:06<00:03, 1.92it/s]\n 70%|███████ | 14/20 [00:07<00:03, 1.92it/s]\n 75%|███████▌ | 15/20 [00:07<00:02, 1.93it/s]\n 80%|████████ | 16/20 [00:08<00:02, 1.93it/s]\n 85%|████████▌ | 17/20 [00:08<00:01, 1.93it/s]\n 90%|█████████ | 18/20 [00:09<00:01, 1.93it/s]\n 95%|█████████▌| 19/20 [00:09<00:00, 1.93it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.93it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.90it/s]\n[Tiled VAE]: the input size is tiny and unnecessary to tile.\n[Tiled VAE]: Done in 11.102s, max VRAM alloc 5803.197 MB", "metrics": { "predict_time": 13.316808, "total_time": 143.462103 }, "output": "https://replicate.delivery/pbxt/MGJy2aTpJB7dI1sQ49nfZpdQh2pesLIF6cC22ySbGo0LhcKSA/output-20240108153527.jpg", "started_at": "2024-01-08T15:35:26.940038Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wo45dqtbfv6zj3pwqldqj3qbxe", "cancel": "https://api.replicate.com/v1/predictions/wo45dqtbfv6zj3pwqldqj3qbxe/cancel" }, "version": "d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195" }Generated inUsing seed: 2896644955 Seed set to 2896644955 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.54it/s] 10%|█ | 2/20 [00:01<00:10, 1.76it/s] 15%|█▌ | 3/20 [00:01<00:09, 1.82it/s] 20%|██ | 4/20 [00:02<00:08, 1.86it/s] 25%|██▌ | 5/20 [00:02<00:07, 1.89it/s] 30%|███ | 6/20 [00:03<00:07, 1.90it/s] 35%|███▌ | 7/20 [00:03<00:06, 1.91it/s] 40%|████ | 8/20 [00:04<00:06, 1.91it/s] 45%|████▌ | 9/20 [00:04<00:05, 1.92it/s] 50%|█████ | 10/20 [00:05<00:05, 1.92it/s] 55%|█████▌ | 11/20 [00:05<00:04, 1.92it/s] 60%|██████ | 12/20 [00:06<00:04, 1.92it/s] 65%|██████▌ | 13/20 [00:06<00:03, 1.92it/s] 70%|███████ | 14/20 [00:07<00:03, 1.92it/s] 75%|███████▌ | 15/20 [00:07<00:02, 1.93it/s] 80%|████████ | 16/20 [00:08<00:02, 1.93it/s] 85%|████████▌ | 17/20 [00:08<00:01, 1.93it/s] 90%|█████████ | 18/20 [00:09<00:01, 1.93it/s] 95%|█████████▌| 19/20 [00:09<00:00, 1.93it/s] 100%|██████████| 20/20 [00:10<00:00, 1.93it/s] 100%|██████████| 20/20 [00:10<00:00, 1.90it/s] [Tiled VAE]: the input size is tiny and unnecessary to tile. [Tiled VAE]: Done in 11.102s, max VRAM alloc 5803.197 MBPrediction
lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195IDnlirdh3buafwtelxm65fhlg6puStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- house, clean, high-resolution, 8k, best quality, masterpiece
- n_prompt
- dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- denoise_steps
- 20
- guidance_scale
- 7.5
- upsample_scale
- 2
- conditioning_scale
- 1.1
{ "image": "https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg", "prompt": "house, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", { input: { image: "https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg", prompt: "house, clean, high-resolution, 8k, best quality, masterpiece", n_prompt: "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", denoise_steps: 20, guidance_scale: 7.5, upsample_scale: 2, conditioning_scale: 1.1 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", input={ "image": "https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg", "prompt": "house, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", "input": { "image": "https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg", "prompt": "house, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195 \ -i 'image="https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg"' \ -i 'prompt="house, clean, high-resolution, 8k, best quality, masterpiece"' \ -i 'n_prompt="dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"' \ -i 'denoise_steps=20' \ -i 'guidance_scale=7.5' \ -i 'upsample_scale=2' \ -i 'conditioning_scale=1.1'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg", "prompt": "house, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
We were unable to load these images. Please make sure the URLs are valid.
{ "input": "https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg", "outut": "https://replicate.delivery/pbxt/pjZeMiqjdXwKRKKiJJrsOuNYcSMSmt5VA7JZZGV621zcjOFJA/output-20240108161528.jpg" }{ "completed_at": "2024-01-08T16:15:54.119289Z", "created_at": "2024-01-08T16:15:28.327054Z", "data_removed": false, "error": null, "id": "nlirdh3buafwtelxm65fhlg6pu", "input": { "image": "https://replicate.delivery/pbxt/KBv8fvMNUNpKA0UIeRmZO4vFTLLyACC5jShNNuZPualwMdEx/house.jpg", "prompt": "house, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }, "logs": "Using seed: 3968342168\nSeed set to 3968342168\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:01<00:22, 1.16s/it]\n 10%|█ | 2/20 [00:02<00:20, 1.15s/it]\n 15%|█▌ | 3/20 [00:03<00:19, 1.14s/it]\n 20%|██ | 4/20 [00:04<00:18, 1.14s/it]\n 25%|██▌ | 5/20 [00:05<00:17, 1.14s/it]\n 30%|███ | 6/20 [00:06<00:15, 1.14s/it]\n 35%|███▌ | 7/20 [00:07<00:14, 1.14s/it]\n 40%|████ | 8/20 [00:09<00:13, 1.14s/it]\n 45%|████▌ | 9/20 [00:10<00:12, 1.14s/it]\n 50%|█████ | 10/20 [00:11<00:11, 1.14s/it]\n 55%|█████▌ | 11/20 [00:12<00:10, 1.14s/it]\n 60%|██████ | 12/20 [00:13<00:09, 1.14s/it]\n 65%|██████▌ | 13/20 [00:14<00:08, 1.14s/it]\n 70%|███████ | 14/20 [00:16<00:06, 1.15s/it]\n 75%|███████▌ | 15/20 [00:17<00:05, 1.15s/it]\n 80%|████████ | 16/20 [00:18<00:04, 1.15s/it]\n 85%|████████▌ | 17/20 [00:19<00:03, 1.15s/it]\n 90%|█████████ | 18/20 [00:20<00:02, 1.15s/it]\n 95%|█████████▌| 19/20 [00:21<00:01, 1.15s/it]\n100%|██████████| 20/20 [00:22<00:00, 1.15s/it]\n100%|██████████| 20/20 [00:22<00:00, 1.14s/it]\n[Tiled VAE]: the input size is tiny and unnecessary to tile.\n[Tiled VAE]: Done in 23.650s, max VRAM alloc 7078.416 MB", "metrics": { "predict_time": 25.715897, "total_time": 25.792235 }, "output": "https://replicate.delivery/pbxt/pjZeMiqjdXwKRKKiJJrsOuNYcSMSmt5VA7JZZGV621zcjOFJA/output-20240108161528.jpg", "started_at": "2024-01-08T16:15:28.403392Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/nlirdh3buafwtelxm65fhlg6pu", "cancel": "https://api.replicate.com/v1/predictions/nlirdh3buafwtelxm65fhlg6pu/cancel" }, "version": "d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195" }Generated inUsing seed: 3968342168 Seed set to 3968342168 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.16s/it] 10%|█ | 2/20 [00:02<00:20, 1.15s/it] 15%|█▌ | 3/20 [00:03<00:19, 1.14s/it] 20%|██ | 4/20 [00:04<00:18, 1.14s/it] 25%|██▌ | 5/20 [00:05<00:17, 1.14s/it] 30%|███ | 6/20 [00:06<00:15, 1.14s/it] 35%|███▌ | 7/20 [00:07<00:14, 1.14s/it] 40%|████ | 8/20 [00:09<00:13, 1.14s/it] 45%|████▌ | 9/20 [00:10<00:12, 1.14s/it] 50%|█████ | 10/20 [00:11<00:11, 1.14s/it] 55%|█████▌ | 11/20 [00:12<00:10, 1.14s/it] 60%|██████ | 12/20 [00:13<00:09, 1.14s/it] 65%|██████▌ | 13/20 [00:14<00:08, 1.14s/it] 70%|███████ | 14/20 [00:16<00:06, 1.15s/it] 75%|███████▌ | 15/20 [00:17<00:05, 1.15s/it] 80%|████████ | 16/20 [00:18<00:04, 1.15s/it] 85%|████████▌ | 17/20 [00:19<00:03, 1.15s/it] 90%|█████████ | 18/20 [00:20<00:02, 1.15s/it] 95%|█████████▌| 19/20 [00:21<00:01, 1.15s/it] 100%|██████████| 20/20 [00:22<00:00, 1.15s/it] 100%|██████████| 20/20 [00:22<00:00, 1.14s/it] [Tiled VAE]: the input size is tiny and unnecessary to tile. [Tiled VAE]: Done in 23.650s, max VRAM alloc 7078.416 MBPrediction
lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195IDwg4cdq3bd5dpmfglu7qjhe5zlqStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- woman, clean, high-resolution, 8k, best quality, masterpiece
- n_prompt
- dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- denoise_steps
- 20
- guidance_scale
- 7.5
- upsample_scale
- 2
- conditioning_scale
- 1.1
{ "image": "https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png", "prompt": "woman, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", { input: { image: "https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png", prompt: "woman, clean, high-resolution, 8k, best quality, masterpiece", n_prompt: "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", denoise_steps: 20, guidance_scale: 7.5, upsample_scale: 2, conditioning_scale: 1.1 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", input={ "image": "https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png", "prompt": "woman, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", "input": { "image": "https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png", "prompt": "woman, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195 \ -i 'image="https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png"' \ -i 'prompt="woman, clean, high-resolution, 8k, best quality, masterpiece"' \ -i 'n_prompt="dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"' \ -i 'denoise_steps=20' \ -i 'guidance_scale=7.5' \ -i 'upsample_scale=2' \ -i 'conditioning_scale=1.1'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png", "prompt": "woman, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
We were unable to load these images. Please make sure the URLs are valid.
{ "input": "https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png", "outut": "https://replicate.delivery/pbxt/XhtUIywTlO6tLtEjK5fFYkkqx65YXWmt6jEdSZrJ7ZgBkOFJA/output-20240108161700.jpg" }{ "completed_at": "2024-01-08T16:17:08.529298Z", "created_at": "2024-01-08T16:16:59.765058Z", "data_removed": false, "error": null, "id": "wg4cdq3bd5dpmfglu7qjhe5zlq", "input": { "image": "https://replicate.delivery/pbxt/KBvA8L0P34OamIkycl2GKIMTX9XqB88JietvBLeWxSD7tPbz/629e4da70703193b.png", "prompt": "woman, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }, "logs": "Using seed: 3853534869\nSeed set to 3853534869\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:06, 2.96it/s]\n 10%|█ | 2/20 [00:00<00:05, 3.11it/s]\n 15%|█▌ | 3/20 [00:00<00:05, 3.16it/s]\n 20%|██ | 4/20 [00:01<00:05, 3.17it/s]\n 25%|██▌ | 5/20 [00:01<00:04, 3.18it/s]\n 30%|███ | 6/20 [00:01<00:04, 3.19it/s]\n 35%|███▌ | 7/20 [00:02<00:04, 3.18it/s]\n 40%|████ | 8/20 [00:02<00:03, 3.19it/s]\n 45%|████▌ | 9/20 [00:02<00:03, 3.19it/s]\n 50%|█████ | 10/20 [00:03<00:03, 3.19it/s]\n 55%|█████▌ | 11/20 [00:03<00:02, 3.19it/s]\n 60%|██████ | 12/20 [00:03<00:02, 3.19it/s]\n 65%|██████▌ | 13/20 [00:04<00:02, 3.19it/s]\n 70%|███████ | 14/20 [00:04<00:01, 3.19it/s]\n 75%|███████▌ | 15/20 [00:04<00:01, 3.19it/s]\n 80%|████████ | 16/20 [00:05<00:01, 3.19it/s]\n 85%|████████▌ | 17/20 [00:05<00:00, 3.18it/s]\n 90%|█████████ | 18/20 [00:05<00:00, 3.19it/s]\n 95%|█████████▌| 19/20 [00:05<00:00, 3.18it/s]\n100%|██████████| 20/20 [00:06<00:00, 3.18it/s]\n100%|██████████| 20/20 [00:06<00:00, 3.18it/s]\n[Tiled VAE]: the input size is tiny and unnecessary to tile.\n[Tiled VAE]: Done in 6.807s, max VRAM alloc 5145.108 MB", "metrics": { "predict_time": 8.726893, "total_time": 8.76424 }, "output": "https://replicate.delivery/pbxt/XhtUIywTlO6tLtEjK5fFYkkqx65YXWmt6jEdSZrJ7ZgBkOFJA/output-20240108161700.jpg", "started_at": "2024-01-08T16:16:59.802405Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wg4cdq3bd5dpmfglu7qjhe5zlq", "cancel": "https://api.replicate.com/v1/predictions/wg4cdq3bd5dpmfglu7qjhe5zlq/cancel" }, "version": "d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195" }Generated inUsing seed: 3853534869 Seed set to 3853534869 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:06, 2.96it/s] 10%|█ | 2/20 [00:00<00:05, 3.11it/s] 15%|█▌ | 3/20 [00:00<00:05, 3.16it/s] 20%|██ | 4/20 [00:01<00:05, 3.17it/s] 25%|██▌ | 5/20 [00:01<00:04, 3.18it/s] 30%|███ | 6/20 [00:01<00:04, 3.19it/s] 35%|███▌ | 7/20 [00:02<00:04, 3.18it/s] 40%|████ | 8/20 [00:02<00:03, 3.19it/s] 45%|████▌ | 9/20 [00:02<00:03, 3.19it/s] 50%|█████ | 10/20 [00:03<00:03, 3.19it/s] 55%|█████▌ | 11/20 [00:03<00:02, 3.19it/s] 60%|██████ | 12/20 [00:03<00:02, 3.19it/s] 65%|██████▌ | 13/20 [00:04<00:02, 3.19it/s] 70%|███████ | 14/20 [00:04<00:01, 3.19it/s] 75%|███████▌ | 15/20 [00:04<00:01, 3.19it/s] 80%|████████ | 16/20 [00:05<00:01, 3.19it/s] 85%|████████▌ | 17/20 [00:05<00:00, 3.18it/s] 90%|█████████ | 18/20 [00:05<00:00, 3.19it/s] 95%|█████████▌| 19/20 [00:05<00:00, 3.18it/s] 100%|██████████| 20/20 [00:06<00:00, 3.18it/s] 100%|██████████| 20/20 [00:06<00:00, 3.18it/s] [Tiled VAE]: the input size is tiny and unnecessary to tile. [Tiled VAE]: Done in 6.807s, max VRAM alloc 5145.108 MBPrediction
lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195ID6c3fz73buinuq3xuzkftzha5e4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- girl, clean, high-resolution, 8k, best quality, masterpiece
- n_prompt
- dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- denoise_steps
- 20
- guidance_scale
- 7.5
- upsample_scale
- 2
- conditioning_scale
- 1.1
{ "image": "https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png", "prompt": "girl, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", { input: { image: "https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png", prompt: "girl, clean, high-resolution, 8k, best quality, masterpiece", n_prompt: "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", denoise_steps: 20, guidance_scale: 7.5, upsample_scale: 2, conditioning_scale: 1.1 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", input={ "image": "https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png", "prompt": "girl, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/pasd-magnify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "lucataco/pasd-magnify:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195", "input": { "image": "https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png", "prompt": "girl, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195 \ -i 'image="https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png"' \ -i 'prompt="girl, clean, high-resolution, 8k, best quality, masterpiece"' \ -i 'n_prompt="dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"' \ -i 'denoise_steps=20' \ -i 'guidance_scale=7.5' \ -i 'upsample_scale=2' \ -i 'conditioning_scale=1.1'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/pasd-magnify@sha256:d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png", "prompt": "girl, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
We were unable to load these images. Please make sure the URLs are valid.
{ "input": "https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png", "outut": "https://replicate.delivery/pbxt/6IbiPH5bcCKVBBUTvOMCdj9bh12NDTFMCLZuefkSnoOQJdKSA/output-20240108161817.jpg" }{ "completed_at": "2024-01-08T16:18:25.464930Z", "created_at": "2024-01-08T16:18:16.828123Z", "data_removed": false, "error": null, "id": "6c3fz73buinuq3xuzkftzha5e4", "input": { "image": "https://replicate.delivery/pbxt/KBvBLCchNnP1CMLd7j3VjvjllMeFVzNGS0u3hvEAJz6nGPMX/27d38eeb2dbbe7c9.png", "prompt": "girl, clean, high-resolution, 8k, best quality, masterpiece", "n_prompt": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "denoise_steps": 20, "guidance_scale": 7.5, "upsample_scale": 2, "conditioning_scale": 1.1 }, "logs": "Using seed: 12706013\nSeed set to 12706013\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:06, 2.95it/s]\n 10%|█ | 2/20 [00:00<00:05, 3.08it/s]\n 15%|█▌ | 3/20 [00:00<00:05, 3.12it/s]\n 20%|██ | 4/20 [00:01<00:05, 3.13it/s]\n 25%|██▌ | 5/20 [00:01<00:04, 3.14it/s]\n 30%|███ | 6/20 [00:01<00:04, 3.14it/s]\n 35%|███▌ | 7/20 [00:02<00:04, 3.14it/s]\n 40%|████ | 8/20 [00:02<00:03, 3.15it/s]\n 45%|████▌ | 9/20 [00:02<00:03, 3.15it/s]\n 50%|█████ | 10/20 [00:03<00:03, 3.15it/s]\n 55%|█████▌ | 11/20 [00:03<00:02, 3.15it/s]\n 60%|██████ | 12/20 [00:03<00:02, 3.15it/s]\n 65%|██████▌ | 13/20 [00:04<00:02, 3.14it/s]\n 70%|███████ | 14/20 [00:04<00:01, 3.14it/s]\n 75%|███████▌ | 15/20 [00:04<00:01, 3.14it/s]\n 80%|████████ | 16/20 [00:05<00:01, 3.14it/s]\n 85%|████████▌ | 17/20 [00:05<00:00, 3.14it/s]\n 90%|█████████ | 18/20 [00:05<00:00, 3.14it/s]\n 95%|█████████▌| 19/20 [00:06<00:00, 3.14it/s]\n100%|██████████| 20/20 [00:06<00:00, 3.14it/s]\n100%|██████████| 20/20 [00:06<00:00, 3.14it/s]\n[Tiled VAE]: the input size is tiny and unnecessary to tile.\n[Tiled VAE]: Done in 6.860s, max VRAM alloc 5164.369 MB", "metrics": { "predict_time": 8.600168, "total_time": 8.636807 }, "output": "https://replicate.delivery/pbxt/6IbiPH5bcCKVBBUTvOMCdj9bh12NDTFMCLZuefkSnoOQJdKSA/output-20240108161817.jpg", "started_at": "2024-01-08T16:18:16.864762Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6c3fz73buinuq3xuzkftzha5e4", "cancel": "https://api.replicate.com/v1/predictions/6c3fz73buinuq3xuzkftzha5e4/cancel" }, "version": "d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195" }Generated inUsing seed: 12706013 Seed set to 12706013 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:06, 2.95it/s] 10%|█ | 2/20 [00:00<00:05, 3.08it/s] 15%|█▌ | 3/20 [00:00<00:05, 3.12it/s] 20%|██ | 4/20 [00:01<00:05, 3.13it/s] 25%|██▌ | 5/20 [00:01<00:04, 3.14it/s] 30%|███ | 6/20 [00:01<00:04, 3.14it/s] 35%|███▌ | 7/20 [00:02<00:04, 3.14it/s] 40%|████ | 8/20 [00:02<00:03, 3.15it/s] 45%|████▌ | 9/20 [00:02<00:03, 3.15it/s] 50%|█████ | 10/20 [00:03<00:03, 3.15it/s] 55%|█████▌ | 11/20 [00:03<00:02, 3.15it/s] 60%|██████ | 12/20 [00:03<00:02, 3.15it/s] 65%|██████▌ | 13/20 [00:04<00:02, 3.14it/s] 70%|███████ | 14/20 [00:04<00:01, 3.14it/s] 75%|███████▌ | 15/20 [00:04<00:01, 3.14it/s] 80%|████████ | 16/20 [00:05<00:01, 3.14it/s] 85%|████████▌ | 17/20 [00:05<00:00, 3.14it/s] 90%|█████████ | 18/20 [00:05<00:00, 3.14it/s] 95%|█████████▌| 19/20 [00:06<00:00, 3.14it/s] 100%|██████████| 20/20 [00:06<00:00, 3.14it/s] 100%|██████████| 20/20 [00:06<00:00, 3.14it/s] [Tiled VAE]: the input size is tiny and unnecessary to tile. [Tiled VAE]: Done in 6.860s, max VRAM alloc 5164.369 MB
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