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0ce45202
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bxclib2 /flux_img2img:0ce45202
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=bxclib2/flux_img2img
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 bxclib2/flux_img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"bxclib2/flux_img2img:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5",
{
input: {
seed: 0,
image: "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
steps: 20,
denoising: 0.85,
scheduler: "simple",
sampler_name: "euler",
positive_prompt: "disney cartoon style, 3d"
}
}
);
// 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 bxclib2/flux_img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"bxclib2/flux_img2img:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5",
input={
"seed": 0,
"image": "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
"steps": 20,
"denoising": 0.85,
"scheduler": "simple",
"sampler_name": "euler",
"positive_prompt": "disney cartoon style, 3d"
}
)
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 bxclib2/flux_img2img 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": "bxclib2/flux_img2img:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5",
"input": {
"seed": 0,
"image": "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
"steps": 20,
"denoising": 0.85,
"scheduler": "simple",
"sampler_name": "euler",
"positive_prompt": "disney cartoon style, 3d"
}
}' \
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/bxclib2/flux_img2img@sha256:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5 \
-i 'seed=0' \
-i 'image="https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png"' \
-i 'steps=20' \
-i 'denoising=0.85' \
-i 'scheduler="simple"' \
-i 'sampler_name="euler"' \
-i 'positive_prompt="disney cartoon style, 3d"'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 r8.im/bxclib2/flux_img2img@sha256:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png", "steps": 20, "denoising": 0.85, "scheduler": "simple", "sampler_name": "euler", "positive_prompt": "disney cartoon style, 3d" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
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Output
{
"completed_at": "2024-08-03T15:25:57.924483Z",
"created_at": "2024-08-03T15:25:23.271000Z",
"data_removed": false,
"error": null,
"id": "tmms6tbfrxrgg0ch33ca9ygatg",
"input": {
"seed": 0,
"image": "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
"steps": 20,
"denoising": 0.85,
"scheduler": "simple",
"sampler_name": "euler",
"positive_prompt": "disney cartoon style, 3d"
},
"logs": "3509132950525580272\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:11, 1.63it/s]\n 10%|█ | 2/20 [00:01<00:14, 1.24it/s]\n 15%|█▌ | 3/20 [00:02<00:14, 1.15it/s]\n 20%|██ | 4/20 [00:03<00:14, 1.11it/s]\n 25%|██▌ | 5/20 [00:04<00:13, 1.09it/s]\n 30%|███ | 6/20 [00:05<00:12, 1.08it/s]\n 35%|███▌ | 7/20 [00:06<00:12, 1.07it/s]\n 40%|████ | 8/20 [00:07<00:11, 1.07it/s]\n 45%|████▌ | 9/20 [00:08<00:10, 1.06it/s]\n 50%|█████ | 10/20 [00:09<00:09, 1.06it/s]\n 55%|█████▌ | 11/20 [00:10<00:08, 1.06it/s]\n 60%|██████ | 12/20 [00:11<00:07, 1.06it/s]\n 65%|██████▌ | 13/20 [00:11<00:06, 1.06it/s]\n 70%|███████ | 14/20 [00:12<00:05, 1.06it/s]\n 75%|███████▌ | 15/20 [00:13<00:04, 1.06it/s]\n 80%|████████ | 16/20 [00:14<00:03, 1.06it/s]\n 85%|████████▌ | 17/20 [00:15<00:02, 1.06it/s]\n 90%|█████████ | 18/20 [00:16<00:01, 1.06it/s]\n 95%|█████████▌| 19/20 [00:17<00:00, 1.06it/s]\n100%|██████████| 20/20 [00:18<00:00, 1.06it/s]\n100%|██████████| 20/20 [00:18<00:00, 1.08it/s]",
"metrics": {
"predict_time": 20.348580908,
"total_time": 34.653483
},
"output": "https://replicate.delivery/pbxt/fCW2zC7Bt90ua6PfjQ9NMK1e2iBWWXeR6HyOb1bZC7HVgf3ZC/out.png",
"started_at": "2024-08-03T15:25:37.575902Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/tmms6tbfrxrgg0ch33ca9ygatg",
"cancel": "https://api.replicate.com/v1/predictions/tmms6tbfrxrgg0ch33ca9ygatg/cancel"
},
"version": "0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5"
}Generated in
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