Readme
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mbukerepo / pixel-forge
reverse-engineers images, faithfully reproducing prompts with precision
- Public
- 278 runs
-
A100 (80GB)
- License
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=mbukerepo/pixel-forge
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 mbukerepo/pixel-forge using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f",
{
input: {
mode: "best",
image: "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png",
clip_model_name: "ViT-bigG-14/laion2b_s39b_b160k"
}
}
);
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 mbukerepo/pixel-forge using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f",
input={
"mode": "best",
"image": "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png",
"clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k"
}
)
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 mbukerepo/pixel-forge 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": "mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f",
"input": {
"mode": "best",
"image": "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png",
"clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k"
}
}' \
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
By signing in, you agree to our
terms of service and privacy policy
Output
arafed view of a grassy valley with a dirt road in the foreground, sylvain sarrailh and igor morski, beautiful”, marc adamus, joseph farquharson, minimalist ) ) ) ) ), happy colors dariusz zawadzki, in valhalla, very realistic photograph, by Evgeny Lushpin, morning shot, 4 8 0 p
{
"completed_at": "2024-03-25T06:14:38.368705Z",
"created_at": "2024-03-25T06:10:36.553976Z",
"data_removed": false,
"error": null,
"id": "2kyw5erbepysgi6qkh6tmkwkfm",
"input": {
"mode": "best",
"image": "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png",
"clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k"
},
"logs": "Loading CLIP model ViT-bigG-14/laion2b_s39b_b160k...\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 0%| | 0.00/27.0M [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 31%|███ | 8.39M/27.0M [00:00<00:00, 81.8MB/s]\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 100%|██████████| 27.0M/27.0M [00:00<00:00, 143MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 0%| | 0.00/258M [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 2%|▏ | 4.19M/258M [00:00<00:06, 39.8MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 5%|▍ | 12.6M/258M [00:00<00:04, 57.4MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 10%|▉ | 25.2M/258M [00:00<00:02, 82.8MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 19%|█▉ | 50.3M/258M [00:00<00:01, 138MB/s] \nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 29%|██▉ | 75.5M/258M [00:00<00:01, 172MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 39%|███▉ | 101M/258M [00:00<00:00, 189MB/s] \nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 49%|████▊ | 126M/258M [00:00<00:00, 200MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 58%|█████▊ | 151M/258M [00:00<00:00, 209MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 68%|██████▊ | 176M/258M [00:01<00:00, 211MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 78%|███████▊ | 201M/258M [00:01<00:00, 218MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 88%|████████▊ | 226M/258M [00:01<00:00, 222MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 97%|█████████▋| 252M/258M [00:01<00:00, 224MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 100%|██████████| 258M/258M [00:01<00:00, 189MB/s]\nViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 0%| | 0.00/243k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 100%|██████████| 243k/243k [00:00<00:00, 7.05MB/s]\nViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 0%| | 0.00/512k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 100%|██████████| 512k/512k [00:00<00:00, 10.6MB/s]\nViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 0%| | 0.00/185k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 100%|██████████| 185k/185k [00:00<00:00, 5.83MB/s]\nPreprocessing trendings: 0%| | 0/1 [00:00<?, ?it/s]\nPreprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 9.82it/s]\nPreprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 9.79it/s]\nViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 0%| | 0.00/105k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 100%|██████████| 105k/105k [00:00<00:00, 4.51MB/s]\nLoaded CLIP model and data in 94.50 seconds.\n 0%| | 0/55 [00:00<?, ?it/s]\n 29%|██▉ | 16/55 [00:00<00:00, 151.47it/s]\n 60%|██████ | 33/55 [00:00<00:00, 161.11it/s]\n 91%|█████████ | 50/55 [00:00<00:00, 163.50it/s]\n100%|██████████| 55/55 [00:00<00:00, 158.10it/s]\nFlavor chain: 0%| | 0/32 [00:00<?, ?it/s]\nFlavor chain: 3%|▎ | 1/32 [00:02<01:02, 2.01s/it]\nFlavor chain: 6%|▋ | 2/32 [00:03<00:59, 2.00s/it]\nFlavor chain: 9%|▉ | 3/32 [00:06<01:00, 2.10s/it]\nFlavor chain: 12%|█▎ | 4/32 [00:08<01:00, 2.18s/it]\nFlavor chain: 16%|█▌ | 5/32 [00:10<01:00, 2.24s/it]\nFlavor chain: 19%|█▉ | 6/32 [00:13<01:00, 2.32s/it]\nFlavor chain: 22%|██▏ | 7/32 [00:15<00:59, 2.39s/it]\nFlavor chain: 25%|██▌ | 8/32 [00:18<00:58, 2.46s/it]\nFlavor chain: 28%|██▊ | 9/32 [00:21<00:58, 2.52s/it]\nFlavor chain: 31%|███▏ | 10/32 [00:23<00:56, 2.59s/it]\nFlavor chain: 31%|███▏ | 10/32 [00:26<00:58, 2.66s/it]\n 0%| | 0/55 [00:00<?, ?it/s]\n 25%|██▌ | 14/55 [00:00<00:00, 137.32it/s]\n 55%|█████▍ | 30/55 [00:00<00:00, 146.34it/s]\n 82%|████████▏ | 45/55 [00:00<00:00, 145.19it/s]\n100%|██████████| 55/55 [00:00<00:00, 147.43it/s]\n 0%| | 0/6 [00:00<?, ?it/s]\n100%|██████████| 6/6 [00:00<00:00, 116.61it/s]\n 0%| | 0/50 [00:00<?, ?it/s]\n 32%|███▏ | 16/50 [00:00<00:00, 156.29it/s]\n 64%|██████▍ | 32/50 [00:00<00:00, 158.09it/s]\n 96%|█████████▌| 48/50 [00:00<00:00, 158.45it/s]\n100%|██████████| 50/50 [00:00<00:00, 159.88it/s]",
"metrics": {
"predict_time": 124.340611,
"total_time": 241.814729
},
"output": "arafed view of a grassy valley with a dirt road in the foreground, sylvain sarrailh and igor morski, beautiful”, marc adamus, joseph farquharson, minimalist ) ) ) ) ), happy colors dariusz zawadzki, in valhalla, very realistic photograph, by Evgeny Lushpin, morning shot, 4 8 0 p",
"started_at": "2024-03-25T06:12:34.028094Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/2kyw5erbepysgi6qkh6tmkwkfm",
"cancel": "https://api.replicate.com/v1/predictions/2kyw5erbepysgi6qkh6tmkwkfm/cancel"
},
"version": "aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f"
}Generated in
Loading CLIP model ViT-bigG-14/laion2b_s39b_b160k...
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100%|██████████| 50/50 [00:00<00:00, 159.88it/s]Run time and cost
This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.
