Prediction
jhorovitz/flux-dev-redux-control:c7e5394e7fc2b92760d37d607e07af5368ef4a61e59c40049aaa71e76c714430Input
- seed
- 42
- width
- 1024
- height
- 1024
- prompt
- A pencil drawing of a car.
- num_outputs
- 1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- redux_strength
- 0.02
- num_inference_steps
- 28
{
"seed": 42,
"redux": "https://replicate.delivery/pbxt/MHoZIY0XUcZ2G34UPSRRXGOxOarxnMDc96u7UCrGdUsqoC1j/car.webp",
"width": 1024,
"height": 1024,
"prompt": "A pencil drawing of a car.",
"num_outputs": 1,
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"redux_strength": 0.02,
"num_inference_steps": 28
}
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run jhorovitz/flux-dev-redux-control using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jhorovitz/flux-dev-redux-control:c7e5394e7fc2b92760d37d607e07af5368ef4a61e59c40049aaa71e76c714430",
{
input: {
seed: 42,
redux: "https://replicate.delivery/pbxt/MHoZIY0XUcZ2G34UPSRRXGOxOarxnMDc96u7UCrGdUsqoC1j/car.webp",
width: 1024,
height: 1024,
prompt: "A pencil drawing of a car.",
num_outputs: 1,
output_format: "webp",
guidance_scale: 3.5,
output_quality: 80,
redux_strength: 0.02,
num_inference_steps: 28
}
}
);
// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run jhorovitz/flux-dev-redux-control using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jhorovitz/flux-dev-redux-control:c7e5394e7fc2b92760d37d607e07af5368ef4a61e59c40049aaa71e76c714430",
input={
"seed": 42,
"redux": "https://replicate.delivery/pbxt/MHoZIY0XUcZ2G34UPSRRXGOxOarxnMDc96u7UCrGdUsqoC1j/car.webp",
"width": 1024,
"height": 1024,
"prompt": "A pencil drawing of a car.",
"num_outputs": 1,
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"redux_strength": 0.02,
"num_inference_steps": 28
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run jhorovitz/flux-dev-redux-control 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": "jhorovitz/flux-dev-redux-control:c7e5394e7fc2b92760d37d607e07af5368ef4a61e59c40049aaa71e76c714430",
"input": {
"seed": 42,
"redux": "https://replicate.delivery/pbxt/MHoZIY0XUcZ2G34UPSRRXGOxOarxnMDc96u7UCrGdUsqoC1j/car.webp",
"width": 1024,
"height": 1024,
"prompt": "A pencil drawing of a car.",
"num_outputs": 1,
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"redux_strength": 0.02,
"num_inference_steps": 28
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If 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/jhorovitz/flux-dev-redux-control@sha256:c7e5394e7fc2b92760d37d607e07af5368ef4a61e59c40049aaa71e76c714430 \
-i 'seed=42' \
-i 'redux="https://replicate.delivery/pbxt/MHoZIY0XUcZ2G34UPSRRXGOxOarxnMDc96u7UCrGdUsqoC1j/car.webp"' \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="A pencil drawing of a car."' \
-i 'num_outputs=1' \
-i 'output_format="webp"' \
-i 'guidance_scale=3.5' \
-i 'output_quality=80' \
-i 'redux_strength=0.02' \
-i 'num_inference_steps=28'
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/jhorovitz/flux-dev-redux-control@sha256:c7e5394e7fc2b92760d37d607e07af5368ef4a61e59c40049aaa71e76c714430
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 42, "redux": "https://replicate.delivery/pbxt/MHoZIY0XUcZ2G34UPSRRXGOxOarxnMDc96u7UCrGdUsqoC1j/car.webp", "width": 1024, "height": 1024, "prompt": "A pencil drawing of a car.", "num_outputs": 1, "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "redux_strength": 0.02, "num_inference_steps": 28 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{
"completed_at": "2025-01-08T15:04:11.189322Z",
"created_at": "2025-01-08T15:03:45.592000Z",
"data_removed": false,
"error": null,
"id": "09rx80vaq1rmc0cm8srs9aq518",
"input": {
"seed": 42,
"redux": "https://replicate.delivery/pbxt/MHoZIY0XUcZ2G34UPSRRXGOxOarxnMDc96u7UCrGdUsqoC1j/car.webp",
"width": 1024,
"height": 1024,
"prompt": "A pencil drawing of a car.",
"num_outputs": 1,
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"redux_strength": 0.02,
"num_inference_steps": 28
},
"logs": "Using seed: 42\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:24, 1.11it/s]\n 7%|▋ | 2/28 [00:01<00:19, 1.32it/s]\n 11%|█ | 3/28 [00:02<00:20, 1.21it/s]\n 14%|█▍ | 4/28 [00:03<00:20, 1.17it/s]\n 18%|█▊ | 5/28 [00:04<00:20, 1.15it/s]\n 21%|██▏ | 6/28 [00:05<00:19, 1.13it/s]\n 25%|██▌ | 7/28 [00:06<00:18, 1.12it/s]\n 29%|██▊ | 8/28 [00:06<00:17, 1.12it/s]\n 32%|███▏ | 9/28 [00:07<00:17, 1.12it/s]\n 36%|███▌ | 10/28 [00:08<00:16, 1.11it/s]\n 39%|███▉ | 11/28 [00:09<00:15, 1.11it/s]\n 43%|████▎ | 12/28 [00:10<00:14, 1.11it/s]\n 46%|████▋ | 13/28 [00:11<00:13, 1.11it/s]\n 50%|█████ | 14/28 [00:12<00:12, 1.11it/s]\n 54%|█████▎ | 15/28 [00:13<00:11, 1.11it/s]\n 57%|█████▋ | 16/28 [00:14<00:10, 1.11it/s]\n 61%|██████ | 17/28 [00:15<00:09, 1.11it/s]\n 64%|██████▍ | 18/28 [00:15<00:09, 1.11it/s]\n 68%|██████▊ | 19/28 [00:16<00:08, 1.11it/s]\n 71%|███████▏ | 20/28 [00:17<00:07, 1.11it/s]\n 75%|███████▌ | 21/28 [00:18<00:06, 1.11it/s]\n 79%|███████▊ | 22/28 [00:19<00:05, 1.11it/s]\n 82%|████████▏ | 23/28 [00:20<00:04, 1.11it/s]\n 86%|████████▌ | 24/28 [00:21<00:03, 1.11it/s]\n 89%|████████▉ | 25/28 [00:22<00:02, 1.11it/s]\n 93%|█████████▎| 26/28 [00:23<00:01, 1.11it/s]\n 96%|█████████▋| 27/28 [00:24<00:00, 1.11it/s]\n100%|██████████| 28/28 [00:25<00:00, 1.11it/s]\n100%|██████████| 28/28 [00:25<00:00, 1.12it/s]",
"metrics": {
"predict_time": 25.590310202,
"total_time": 25.597322
},
"output": [
"https://replicate.delivery/xezq/Xw0NNWUnDrreYibUE1WfJT0qSzLaM14iZlFiXn7vbbMrXEDUA/out-0.webp"
],
"started_at": "2025-01-08T15:03:45.599012Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-tfi7i3dqjjksw44agp6kr22oisgjpicsnc6fu2k7kmgeeejfbdna",
"get": "https://api.replicate.com/v1/predictions/09rx80vaq1rmc0cm8srs9aq518",
"cancel": "https://api.replicate.com/v1/predictions/09rx80vaq1rmc0cm8srs9aq518/cancel"
},
"version": "c7e5394e7fc2b92760d37d607e07af5368ef4a61e59c40049aaa71e76c714430"
}
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