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5bcfe110
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lucataco /demofusion-enhance:5bcfe110
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=lucataco/demofusion-enhance
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 lucataco/demofusion-enhance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/demofusion-enhance:5bcfe11066c820e8c08232c6efa3c8a7ab2cd667ad136ca173633f352170691e",
{
input: {
image: "https://replicate.delivery/pbxt/K1EoJ0buGnkhzXnA2egJJpk9mpBaK8UUNbAanwhn3kpUgrm3/out-2-19.png",
scale: 2,
sigma: 0.8,
prompt: "A high resolution photo of a man standing on a hill, fabulous view, clouds",
stride: 64,
auto_prompt: true,
multi_decoder: false,
cosine_scale_1: 3,
cosine_scale_2: 1,
cosine_scale_3: 1,
guidance_scale: 8.5,
negative_prompt: "blurry, ugly, duplicate, poorly drawn, deformed, mosaic",
view_batch_size: 16,
num_inference_steps: 40
}
}
);
console.log(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 lucataco/demofusion-enhance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/demofusion-enhance:5bcfe11066c820e8c08232c6efa3c8a7ab2cd667ad136ca173633f352170691e",
input={
"image": "https://replicate.delivery/pbxt/K1EoJ0buGnkhzXnA2egJJpk9mpBaK8UUNbAanwhn3kpUgrm3/out-2-19.png",
"scale": 2,
"sigma": 0.8,
"prompt": "A high resolution photo of a man standing on a hill, fabulous view, clouds",
"stride": 64,
"auto_prompt": True,
"multi_decoder": False,
"cosine_scale_1": 3,
"cosine_scale_2": 1,
"cosine_scale_3": 1,
"guidance_scale": 8.5,
"negative_prompt": "blurry, ugly, duplicate, poorly drawn, deformed, mosaic",
"view_batch_size": 16,
"num_inference_steps": 40
}
)
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 lucataco/demofusion-enhance 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": "5bcfe11066c820e8c08232c6efa3c8a7ab2cd667ad136ca173633f352170691e",
"input": {
"image": "https://replicate.delivery/pbxt/K1EoJ0buGnkhzXnA2egJJpk9mpBaK8UUNbAanwhn3kpUgrm3/out-2-19.png",
"scale": 2,
"sigma": 0.8,
"prompt": "A high resolution photo of a man standing on a hill, fabulous view, clouds",
"stride": 64,
"auto_prompt": true,
"multi_decoder": false,
"cosine_scale_1": 3,
"cosine_scale_2": 1,
"cosine_scale_3": 1,
"guidance_scale": 8.5,
"negative_prompt": "blurry, ugly, duplicate, poorly drawn, deformed, mosaic",
"view_batch_size": 16,
"num_inference_steps": 40
}
}' \
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/demofusion-enhance@sha256:5bcfe11066c820e8c08232c6efa3c8a7ab2cd667ad136ca173633f352170691e \
-i 'image="https://replicate.delivery/pbxt/K1EoJ0buGnkhzXnA2egJJpk9mpBaK8UUNbAanwhn3kpUgrm3/out-2-19.png"' \
-i 'scale=2' \
-i 'sigma=0.8' \
-i 'prompt="A high resolution photo of a man standing on a hill, fabulous view, clouds"' \
-i 'stride=64' \
-i 'auto_prompt=true' \
-i 'multi_decoder=false' \
-i 'cosine_scale_1=3' \
-i 'cosine_scale_2=1' \
-i 'cosine_scale_3=1' \
-i 'guidance_scale=8.5' \
-i 'negative_prompt="blurry, ugly, duplicate, poorly drawn, deformed, mosaic"' \
-i 'view_batch_size=16' \
-i 'num_inference_steps=40'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/demofusion-enhance@sha256:5bcfe11066c820e8c08232c6efa3c8a7ab2cd667ad136ca173633f352170691ecurl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/K1EoJ0buGnkhzXnA2egJJpk9mpBaK8UUNbAanwhn3kpUgrm3/out-2-19.png", "scale": 2, "sigma": 0.8, "prompt": "A high resolution photo of a man standing on a hill, fabulous view, clouds", "stride": 64, "auto_prompt": true, "multi_decoder": false, "cosine_scale_1": 3, "cosine_scale_2": 1, "cosine_scale_3": 1, "guidance_scale": 8.5, "negative_prompt": "blurry, ugly, duplicate, poorly drawn, deformed, mosaic", "view_batch_size": 16, "num_inference_steps": 40 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.42. Alternatively, try out our featured models for free.
Sign in with GitHub
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terms of service and privacy policy
Output
We were unable to load these images. Please make sure the URLs are valid.
{
"input": "https://replicate.delivery/pbxt/K1EoJ0buGnkhzXnA2egJJpk9mpBaK8UUNbAanwhn3kpUgrm3/out-2-19.png",
"outut": "https://replicate.delivery/pbxt/MG8jw67ZmI7pKxsFd47ThzAlAmfowUTJYuVtlzOcz7UDqRAJA/out-2.png"
}{
"completed_at": "2023-12-09T15:08:54.671000Z",
"created_at": "2023-12-09T15:05:39.223951Z",
"data_removed": false,
"error": null,
"id": "yyxfu7lb62k5itmg6acv7dpjae",
"input": {
"image": "https://replicate.delivery/pbxt/K1EoJ0buGnkhzXnA2egJJpk9mpBaK8UUNbAanwhn3kpUgrm3/out-2-19.png",
"scale": 2,
"sigma": 0.8,
"prompt": "A high resolution photo of a man standing on a hill, fabulous view, clouds",
"stride": 64,
"auto_prompt": true,
"multi_decoder": false,
"cosine_scale_1": 3,
"cosine_scale_2": 1,
"cosine_scale_3": 1,
"guidance_scale": 8.5,
"negative_prompt": "blurry, ugly, duplicate, poorly drawn, deformed, mosaic",
"view_batch_size": 16,
"num_inference_steps": 40
},
"logs": "Using seed: 2945029666\n 0%| | 0/55 [00:00<?, ?it/s]\n 51%|█████ | 28/55 [00:00<00:00, 276.85it/s]\n100%|██████████| 55/55 [00:00<00:00, 293.93it/s]\nFlavor chain: 0%| | 0/32 [00:00<?, ?it/s]\nFlavor chain: 3%|▎ | 1/32 [00:01<01:01, 1.97s/it]\nFlavor chain: 6%|▋ | 2/32 [00:03<00:59, 1.99s/it]\nFlavor chain: 9%|▉ | 3/32 [00:05<00:57, 2.00s/it]\nFlavor chain: 12%|█▎ | 4/32 [00:08<00:56, 2.01s/it]\nFlavor chain: 16%|█▌ | 5/32 [00:10<00:54, 2.02s/it]\nFlavor chain: 19%|█▉ | 6/32 [00:12<00:52, 2.03s/it]\nFlavor chain: 22%|██▏ | 7/32 [00:14<00:51, 2.05s/it]\nFlavor chain: 25%|██▌ | 8/32 [00:16<00:49, 2.04s/it]\nFlavor chain: 28%|██▊ | 9/32 [00:18<00:47, 2.05s/it]\nFlavor chain: 31%|███▏ | 10/32 [00:20<00:45, 2.06s/it]\nFlavor chain: 34%|███▍ | 11/32 [00:22<00:43, 2.08s/it]\nFlavor chain: 38%|███▊ | 12/32 [00:24<00:42, 2.10s/it]\nFlavor chain: 41%|████ | 13/32 [00:26<00:40, 2.12s/it]\nFlavor chain: 44%|████▍ | 14/32 [00:28<00:38, 2.13s/it]\nFlavor chain: 47%|████▋ | 15/32 [00:31<00:36, 2.14s/it]\nFlavor chain: 50%|█████ | 16/32 [00:33<00:34, 2.15s/it]\nFlavor chain: 53%|█████▎ | 17/32 [00:35<00:32, 2.16s/it]\nFlavor chain: 56%|█████▋ | 18/32 [00:37<00:30, 2.17s/it]\nFlavor chain: 59%|█████▉ | 19/32 [00:39<00:28, 2.17s/it]\nFlavor chain: 62%|██████▎ | 20/32 [00:42<00:26, 2.17s/it]\nFlavor chain: 66%|██████▌ | 21/32 [00:44<00:23, 2.18s/it]\nFlavor chain: 69%|██████▉ | 22/32 [00:46<00:21, 2.18s/it]\nFlavor chain: 69%|██████▉ | 22/32 [00:48<00:22, 2.21s/it]\n 0%| | 0/55 [00:00<?, ?it/s]\n 44%|████▎ | 24/55 [00:00<00:00, 231.29it/s]\n 87%|████████▋ | 48/55 [00:00<00:00, 229.59it/s]\n100%|██████████| 55/55 [00:00<00:00, 232.94it/s]\n 0%| | 0/6 [00:00<?, ?it/s]\n100%|██████████| 6/6 [00:00<00:00, 231.71it/s]\n 0%| | 0/50 [00:00<?, ?it/s]\n 64%|██████▍ | 32/50 [00:00<00:00, 311.17it/s]\n100%|██████████| 50/50 [00:00<00:00, 313.35it/s]\nPrompt: arafed sweater with a christmas tree and snowflakes on a gray background, cinestill 5 0 0, packshot, color block, diagonal lines, woods, elaborate clothing, fox, full product shot, lindsay adler, webbing, city, bright:, hunter, patterned, ax, image, flux, pic, cut, creeper, decoration, bay\n### Phase Encoding ###\n 0%| | 0/40 [00:00<?, ?it/s]\n0%| | 0/40 [00:00<?, ?it/s]\n### Phase 1 Denoising ###\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:09, 4.14it/s]\n 5%|▌ | 2/40 [00:00<00:08, 4.24it/s]\n 8%|▊ | 3/40 [00:00<00:08, 4.27it/s]\n 10%|█ | 4/40 [00:00<00:08, 4.28it/s]\n 12%|█▎ | 5/40 [00:01<00:08, 4.29it/s]\n 15%|█▌ | 6/40 [00:01<00:07, 4.29it/s]\n 18%|█▊ | 7/40 [00:01<00:07, 4.30it/s]\n 20%|██ | 8/40 [00:01<00:07, 4.29it/s]\n 22%|██▎ | 9/40 [00:02<00:07, 4.30it/s]\n 25%|██▌ | 10/40 [00:02<00:06, 4.30it/s]\n 28%|██▊ | 11/40 [00:02<00:06, 4.30it/s]\n 30%|███ | 12/40 [00:02<00:06, 4.30it/s]\n 32%|███▎ | 13/40 [00:03<00:06, 4.30it/s]\n 35%|███▌ | 14/40 [00:03<00:06, 4.30it/s]\n 38%|███▊ | 15/40 [00:03<00:05, 4.30it/s]\n 40%|████ | 16/40 [00:03<00:05, 4.30it/s]\n 42%|████▎ | 17/40 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98%|█████████▊| 39/40 [00:09<00:00, 4.30it/s]\n### Phase 1 Decoding ###\n100%|██████████| 40/40 [00:09<00:00, 4.30it/s]\n100%|██████████| 40/40 [00:09<00:00, 4.19it/s]\n### Phase 2 Denoising ###\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:01<00:51, 1.32s/it]\n 5%|▌ | 2/40 [00:02<00:50, 1.32s/it]\n 8%|▊ | 3/40 [00:03<00:48, 1.32s/it]\n 10%|█ | 4/40 [00:05<00:47, 1.32s/it]\n 12%|█▎ | 5/40 [00:06<00:46, 1.32s/it]\n 15%|█▌ | 6/40 [00:07<00:44, 1.32s/it]\n 18%|█▊ | 7/40 [00:09<00:43, 1.32s/it]\n 20%|██ | 8/40 [00:10<00:42, 1.32s/it]\n 22%|██▎ | 9/40 [00:11<00:40, 1.32s/it]\n 25%|██▌ | 10/40 [00:13<00:39, 1.32s/it]\n 28%|██▊ | 11/40 [00:14<00:38, 1.32s/it]\n 30%|███ | 12/40 [00:15<00:36, 1.32s/it]\n 32%|███▎ | 13/40 [00:17<00:35, 1.32s/it]\n 35%|███▌ | 14/40 [00:18<00:34, 1.32s/it]\n 38%|███▊ | 15/40 [00:19<00:32, 1.32s/it]\n 40%|████ | 16/40 [00:21<00:31, 1.32s/it]\n 42%|████▎ | 17/40 [00:22<00:30, 1.32s/it]\n 45%|████▌ | 18/40 [00:23<00:29, 1.32s/it]\n 48%|████▊ | 19/40 [00:25<00:27, 1.32s/it]\n 50%|█████ | 20/40 [00:26<00:26, 1.32s/it]\n 52%|█████▎ | 21/40 [00:27<00:25, 1.32s/it]\n 55%|█████▌ | 22/40 [00:28<00:23, 1.32s/it]\n 57%|█████▊ | 23/40 [00:30<00:22, 1.32s/it]\n 60%|██████ | 24/40 [00:31<00:21, 1.32s/it]\n 62%|██████▎ | 25/40 [00:32<00:19, 1.32s/it]\n 65%|██████▌ | 26/40 [00:34<00:18, 1.32s/it]\n 68%|██████▊ | 27/40 [00:35<00:17, 1.32s/it]\n 70%|███████ | 28/40 [00:36<00:15, 1.32s/it]\n 72%|███████▎ | 29/40 [00:38<00:14, 1.32s/it]\n 75%|███████▌ | 30/40 [00:39<00:13, 1.32s/it]\n 78%|███████▊ | 31/40 [00:40<00:11, 1.32s/it]\n 80%|████████ | 32/40 [00:42<00:10, 1.32s/it]\n 82%|████████▎ | 33/40 [00:43<00:09, 1.32s/it]\n 85%|████████▌ | 34/40 [00:44<00:07, 1.32s/it]\n 88%|████████▊ | 35/40 [00:46<00:06, 1.32s/it]\n 90%|█████████ | 36/40 [00:47<00:05, 1.32s/it]\n 92%|█████████▎| 37/40 [00:48<00:03, 1.32s/it]\n 95%|█████████▌| 38/40 [00:50<00:02, 1.32s/it]\n 98%|█████████▊| 39/40 [00:51<00:01, 1.32s/it]\n### Phase 2 Decoding ###\n100%|██████████| 40/40 [00:52<00:00, 1.32s/it]\n100%|██████████| 40/40 [00:53<00:00, 1.34s/it]",
"metrics": {
"predict_time": 117.661477,
"total_time": 195.447049
},
"output": "https://replicate.delivery/pbxt/MG8jw67ZmI7pKxsFd47ThzAlAmfowUTJYuVtlzOcz7UDqRAJA/out-2.png",
"started_at": "2023-12-09T15:06:57.009523Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/yyxfu7lb62k5itmg6acv7dpjae",
"cancel": "https://api.replicate.com/v1/predictions/yyxfu7lb62k5itmg6acv7dpjae/cancel"
},
"version": "5bcfe11066c820e8c08232c6efa3c8a7ab2cd667ad136ca173633f352170691e"
}Generated in
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Prompt: arafed sweater with a christmas tree and snowflakes on a gray background, cinestill 5 0 0, packshot, color block, diagonal lines, woods, elaborate clothing, fox, full product shot, lindsay adler, webbing, city, bright:, hunter, patterned, ax, image, flux, pic, cut, creeper, decoration, bay
### Phase Encoding ###
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32%|███▎ | 13/40 [00:03<00:06, 4.30it/s]
35%|███▌ | 14/40 [00:03<00:06, 4.30it/s]
38%|███▊ | 15/40 [00:03<00:05, 4.30it/s]
40%|████ | 16/40 [00:03<00:05, 4.30it/s]
42%|████▎ | 17/40 [00:03<00:05, 4.30it/s]
45%|████▌ | 18/40 [00:04<00:05, 4.30it/s]
48%|████▊ | 19/40 [00:04<00:04, 4.30it/s]
50%|█████ | 20/40 [00:04<00:04, 4.30it/s]
52%|█████▎ | 21/40 [00:04<00:04, 4.30it/s]
55%|█████▌ | 22/40 [00:05<00:04, 4.30it/s]
57%|█████▊ | 23/40 [00:05<00:03, 4.30it/s]
60%|██████ | 24/40 [00:05<00:03, 4.30it/s]
62%|██████▎ | 25/40 [00:05<00:03, 4.30it/s]
65%|██████▌ | 26/40 [00:06<00:03, 4.30it/s]
68%|██████▊ | 27/40 [00:06<00:03, 4.30it/s]
70%|███████ | 28/40 [00:06<00:02, 4.30it/s]
72%|███████▎ | 29/40 [00:06<00:02, 4.30it/s]
75%|███████▌ | 30/40 [00:06<00:02, 4.30it/s]
78%|███████▊ | 31/40 [00:07<00:02, 4.30it/s]
80%|████████ | 32/40 [00:07<00:01, 4.30it/s]
82%|████████▎ | 33/40 [00:07<00:01, 4.30it/s]
85%|████████▌ | 34/40 [00:07<00:01, 4.30it/s]
88%|████████▊ | 35/40 [00:08<00:01, 4.30it/s]
90%|█████████ | 36/40 [00:08<00:00, 4.30it/s]
92%|█████████▎| 37/40 [00:08<00:00, 4.30it/s]
95%|█████████▌| 38/40 [00:08<00:00, 4.30it/s]
98%|█████████▊| 39/40 [00:09<00:00, 4.30it/s]
### Phase 1 Decoding ###
100%|██████████| 40/40 [00:09<00:00, 4.30it/s]
100%|██████████| 40/40 [00:09<00:00, 4.19it/s]
### Phase 2 Denoising ###
0%| | 0/40 [00:00<?, ?it/s]
2%|▎ | 1/40 [00:01<00:51, 1.32s/it]
5%|▌ | 2/40 [00:02<00:50, 1.32s/it]
8%|▊ | 3/40 [00:03<00:48, 1.32s/it]
10%|█ | 4/40 [00:05<00:47, 1.32s/it]
12%|█▎ | 5/40 [00:06<00:46, 1.32s/it]
15%|█▌ | 6/40 [00:07<00:44, 1.32s/it]
18%|█▊ | 7/40 [00:09<00:43, 1.32s/it]
20%|██ | 8/40 [00:10<00:42, 1.32s/it]
22%|██▎ | 9/40 [00:11<00:40, 1.32s/it]
25%|██▌ | 10/40 [00:13<00:39, 1.32s/it]
28%|██▊ | 11/40 [00:14<00:38, 1.32s/it]
30%|███ | 12/40 [00:15<00:36, 1.32s/it]
32%|███▎ | 13/40 [00:17<00:35, 1.32s/it]
35%|███▌ | 14/40 [00:18<00:34, 1.32s/it]
38%|███▊ | 15/40 [00:19<00:32, 1.32s/it]
40%|████ | 16/40 [00:21<00:31, 1.32s/it]
42%|████▎ | 17/40 [00:22<00:30, 1.32s/it]
45%|████▌ | 18/40 [00:23<00:29, 1.32s/it]
48%|████▊ | 19/40 [00:25<00:27, 1.32s/it]
50%|█████ | 20/40 [00:26<00:26, 1.32s/it]
52%|█████▎ | 21/40 [00:27<00:25, 1.32s/it]
55%|█████▌ | 22/40 [00:28<00:23, 1.32s/it]
57%|█████▊ | 23/40 [00:30<00:22, 1.32s/it]
60%|██████ | 24/40 [00:31<00:21, 1.32s/it]
62%|██████▎ | 25/40 [00:32<00:19, 1.32s/it]
65%|██████▌ | 26/40 [00:34<00:18, 1.32s/it]
68%|██████▊ | 27/40 [00:35<00:17, 1.32s/it]
70%|███████ | 28/40 [00:36<00:15, 1.32s/it]
72%|███████▎ | 29/40 [00:38<00:14, 1.32s/it]
75%|███████▌ | 30/40 [00:39<00:13, 1.32s/it]
78%|███████▊ | 31/40 [00:40<00:11, 1.32s/it]
80%|████████ | 32/40 [00:42<00:10, 1.32s/it]
82%|████████▎ | 33/40 [00:43<00:09, 1.32s/it]
85%|████████▌ | 34/40 [00:44<00:07, 1.32s/it]
88%|████████▊ | 35/40 [00:46<00:06, 1.32s/it]
90%|█████████ | 36/40 [00:47<00:05, 1.32s/it]
92%|█████████▎| 37/40 [00:48<00:03, 1.32s/it]
95%|█████████▌| 38/40 [00:50<00:02, 1.32s/it]
98%|█████████▊| 39/40 [00:51<00:01, 1.32s/it]
### Phase 2 Decoding ###
100%|██████████| 40/40 [00:52<00:00, 1.32s/it]
100%|██████████| 40/40 [00:53<00:00, 1.34s/it]