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juergengunz /ultimate-portrait-upscale:f7fdace4
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=juergengunz/ultimate-portrait-upscale
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run juergengunz/ultimate-portrait-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"juergengunz/ultimate-portrait-upscale:f7fdace4ec7adab7fa02688a160eee8057f070ead7fbb84e0904864fd2324be5",
{
input: {
cfg: 8,
image: "https://replicate.delivery/pbxt/K1jy8x3lgsayBRp1SwKmFoQrFGoEOvQ56VcwGIHM6giTiyPm/test.png",
steps: 20,
denoise: 0.1,
upscaler: "4x-UltraSharp",
mask_blur: 8,
mode_type: "Linear",
scheduler: "normal",
tile_width: 512,
upscale_by: 2,
tile_height: 512,
sampler_name: "euler",
tile_padding: 32,
seam_fix_mode: "None",
seam_fix_width: 64,
negative_prompt: "cartoon, cgi, render, painting, illustration, drawing",
positive_prompt: "business portrait of a man, detailed skin, perfect skin, soft lighting, beautiful blue eyes, photorealistic",
seam_fix_denoise: 1,
seam_fix_padding: 16,
seam_fix_mask_blur: 8,
controlnet_strength: 1,
force_uniform_tiles: true,
use_controlnet_tile: true
}
}
);
// 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 replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun juergengunz/ultimate-portrait-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"juergengunz/ultimate-portrait-upscale:f7fdace4ec7adab7fa02688a160eee8057f070ead7fbb84e0904864fd2324be5",
input={
"cfg": 8,
"image": "https://replicate.delivery/pbxt/K1jy8x3lgsayBRp1SwKmFoQrFGoEOvQ56VcwGIHM6giTiyPm/test.png",
"steps": 20,
"denoise": 0.1,
"upscaler": "4x-UltraSharp",
"mask_blur": 8,
"mode_type": "Linear",
"scheduler": "normal",
"tile_width": 512,
"upscale_by": 2,
"tile_height": 512,
"sampler_name": "euler",
"tile_padding": 32,
"seam_fix_mode": "None",
"seam_fix_width": 64,
"negative_prompt": "cartoon, cgi, render, painting, illustration, drawing",
"positive_prompt": "business portrait of a man, detailed skin, perfect skin, soft lighting, beautiful blue eyes, photorealistic",
"seam_fix_denoise": 1,
"seam_fix_padding": 16,
"seam_fix_mask_blur": 8,
"controlnet_strength": 1,
"force_uniform_tiles": True,
"use_controlnet_tile": True
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run juergengunz/ultimate-portrait-upscale 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": "juergengunz/ultimate-portrait-upscale:f7fdace4ec7adab7fa02688a160eee8057f070ead7fbb84e0904864fd2324be5",
"input": {
"cfg": 8,
"image": "https://replicate.delivery/pbxt/K1jy8x3lgsayBRp1SwKmFoQrFGoEOvQ56VcwGIHM6giTiyPm/test.png",
"steps": 20,
"denoise": 0.1,
"upscaler": "4x-UltraSharp",
"mask_blur": 8,
"mode_type": "Linear",
"scheduler": "normal",
"tile_width": 512,
"upscale_by": 2,
"tile_height": 512,
"sampler_name": "euler",
"tile_padding": 32,
"seam_fix_mode": "None",
"seam_fix_width": 64,
"negative_prompt": "cartoon, cgi, render, painting, illustration, drawing",
"positive_prompt": "business portrait of a man, detailed skin, perfect skin, soft lighting, beautiful blue eyes, photorealistic",
"seam_fix_denoise": 1,
"seam_fix_padding": 16,
"seam_fix_mask_blur": 8,
"controlnet_strength": 1,
"force_uniform_tiles": true,
"use_controlnet_tile": true
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
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terms of service and privacy policy
Output
Loading...
{
"completed_at": "2023-12-10T23:56:22.876546Z",
"created_at": "2023-12-10T23:56:13.187729Z",
"data_removed": false,
"error": null,
"id": "d2wp6xdboshn2nanm7hghzq6gm",
"input": {
"cfg": 8,
"image": "https://replicate.delivery/pbxt/K1jy8x3lgsayBRp1SwKmFoQrFGoEOvQ56VcwGIHM6giTiyPm/test.png",
"steps": 20,
"denoise": 0.1,
"upscaler": "4x-UltraSharp",
"mask_blur": 8,
"mode_type": "Linear",
"scheduler": "normal",
"tile_width": 512,
"upscale_by": 2,
"tile_height": 512,
"sampler_name": "euler",
"tile_padding": 32,
"seam_fix_mode": "None",
"seam_fix_width": 64,
"negative_prompt": "cartoon, cgi, render, painting, illustration, drawing",
"positive_prompt": "business portrait of a man, detailed skin, perfect skin, soft lighting, beautiful blue eyes, photorealistic",
"seam_fix_denoise": 1,
"seam_fix_padding": 16,
"seam_fix_mask_blur": 8,
"controlnet_strength": 1,
"force_uniform_tiles": true,
"use_controlnet_tile": true
},
"logs": "Using seed: 1926293\nUsing ControlNet tile with Ultimate SD Upscale\ngot prompt\nCanva size: 800x1072\nImage size: 400x533\nScale factor: 3\nUpscaling iteration 1 with scale factor 3\nTile size: 512x512\nTiles amount: 6\nGrid: 3x2\nRedraw enabled: True\nSeams fix mode: NONE\nRequested to load ControlNet\nLoading 1 new model\n 0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:00, 18.57it/s]\n 25%|██▌ | 5/20 [00:00<00:00, 19.62it/s]\n 40%|████ | 8/20 [00:00<00:00, 20.05it/s]\n 50%|█████ | 10/20 [00:00<00:00, 19.82it/s]\n 65%|██████▌ | 13/20 [00:00<00:00, 19.71it/s]\n 75%|███████▌ | 15/20 [00:00<00:00, 19.76it/s]\n 90%|█████████ | 18/20 [00:00<00:00, 20.00it/s]\n100%|██████████| 20/20 [00:01<00:00, 19.94it/s]\n100%|██████████| 20/20 [00:01<00:00, 19.83it/s]\nRequested to load ControlNet\nLoading 1 new model\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:00, 19.90it/s]\n 25%|██▌ | 5/20 [00:00<00:00, 20.09it/s]\n 40%|████ | 8/20 [00:00<00:00, 20.15it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 20.27it/s]\n 70%|███████ | 14/20 [00:00<00:00, 20.35it/s]\n 85%|████████▌ | 17/20 [00:00<00:00, 19.85it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.09it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.11it/s]\nRequested to load ControlNet\nLoading 1 new model\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:00, 19.61it/s]\n 25%|██▌ | 5/20 [00:00<00:00, 20.10it/s]\n 40%|████ | 8/20 [00:00<00:00, 20.25it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 19.64it/s]\n 70%|███████ | 14/20 [00:00<00:00, 19.94it/s]\n 85%|████████▌ | 17/20 [00:00<00:00, 20.07it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.17it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.05it/s]\nRequested to load ControlNet\nLoading 1 new model\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:01, 17.92it/s]\n 20%|██ | 4/20 [00:00<00:00, 18.92it/s]\n 35%|███▌ | 7/20 [00:00<00:00, 19.76it/s]\n 50%|█████ | 10/20 [00:00<00:00, 19.95it/s]\n 65%|██████▌ | 13/20 [00:00<00:00, 20.15it/s]\n 80%|████████ | 16/20 [00:00<00:00, 20.17it/s]\n 95%|█████████▌| 19/20 [00:00<00:00, 20.24it/s]\n100%|██████████| 20/20 [00:01<00:00, 19.98it/s]\nRequested to load ControlNet\nLoading 1 new model\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:00, 19.62it/s]\n 25%|██▌ | 5/20 [00:00<00:00, 19.91it/s]\n 40%|████ | 8/20 [00:00<00:00, 20.07it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 20.25it/s]\n 70%|███████ | 14/20 [00:00<00:00, 20.28it/s]\n 85%|████████▌ | 17/20 [00:00<00:00, 20.21it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.15it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.14it/s]\nRequested to load ControlNet\nLoading 1 new model\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:00, 19.84it/s]\n 25%|██▌ | 5/20 [00:00<00:00, 20.24it/s]\n 40%|████ | 8/20 [00:00<00:00, 20.12it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 19.81it/s]\n 70%|███████ | 14/20 [00:00<00:00, 20.08it/s]\n 85%|████████▌ | 17/20 [00:00<00:00, 20.20it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.25it/s]\n100%|██████████| 20/20 [00:00<00:00, 20.15it/s]\nPrompt executed in 8.69 seconds\nnode output: {'images': [{'filename': 'ComfyUI_00035_.png', 'subfolder': '', 'type': 'output'}]}\noutput",
"metrics": {
"predict_time": 9.670054,
"total_time": 9.688817
},
"output": "https://replicate.delivery/pbxt/EykrnMfm3RwgWiLVz5iZV39V0iBqu2MtkeuDj0GDMXFmIABSA/out-1926293.png",
"started_at": "2023-12-10T23:56:13.206492Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/d2wp6xdboshn2nanm7hghzq6gm",
"cancel": "https://api.replicate.com/v1/predictions/d2wp6xdboshn2nanm7hghzq6gm/cancel"
},
"version": "f7fdace4ec7adab7fa02688a160eee8057f070ead7fbb84e0904864fd2324be5"
}Generated in
Using seed: 1926293
Using ControlNet tile with Ultimate SD Upscale
got prompt
Canva size: 800x1072
Image size: 400x533
Scale factor: 3
Upscaling iteration 1 with scale factor 3
Tile size: 512x512
Tiles amount: 6
Grid: 3x2
Redraw enabled: True
Seams fix mode: NONE
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Prompt executed in 8.69 seconds
node output: {'images': [{'filename': 'ComfyUI_00035_.png', 'subfolder': '', 'type': 'output'}]}
output