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jichengdu /flux-pulid:ca0b96aa
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run jichengdu/flux-pulid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jichengdu/flux-pulid:ca0b96aa9f0d0a0a7962a727377806215df25a517865e5f6949f24a26c24d2a6",
{
input: {
width: 896,
height: 1152,
prompt: "portrait, color, cinematic",
true_cfg: 1,
id_weight: 1,
num_steps: 20,
start_step: 0,
num_outputs: 1,
output_format: "webp",
guidance_scale: 4,
output_quality: 80,
negative_prompt: "bad quality, worst quality, text, signature, watermark, extra limbs, low resolution, partially rendered objects, deformed or partially rendered eyes, deformed, deformed eyeballs, cross-eyed, blurry",
max_sequence_length: 128
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run jichengdu/flux-pulid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jichengdu/flux-pulid:ca0b96aa9f0d0a0a7962a727377806215df25a517865e5f6949f24a26c24d2a6",
input={
"width": 896,
"height": 1152,
"prompt": "portrait, color, cinematic",
"true_cfg": 1,
"id_weight": 1,
"num_steps": 20,
"start_step": 0,
"num_outputs": 1,
"output_format": "webp",
"guidance_scale": 4,
"output_quality": 80,
"negative_prompt": "bad quality, worst quality, text, signature, watermark, extra limbs, low resolution, partially rendered objects, deformed or partially rendered eyes, deformed, deformed eyeballs, cross-eyed, blurry",
"max_sequence_length": 128
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run jichengdu/flux-pulid 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": "ca0b96aa9f0d0a0a7962a727377806215df25a517865e5f6949f24a26c24d2a6",
"input": {
"width": 896,
"height": 1152,
"prompt": "portrait, color, cinematic",
"true_cfg": 1,
"id_weight": 1,
"num_steps": 20,
"start_step": 0,
"num_outputs": 1,
"output_format": "webp",
"guidance_scale": 4,
"output_quality": 80,
"negative_prompt": "bad quality, worst quality, text, signature, watermark, extra limbs, low resolution, partially rendered objects, deformed or partially rendered eyes, deformed, deformed eyeballs, cross-eyed, blurry",
"max_sequence_length": 128
}
}' \
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.
Pull and run jichengdu/flux-pulid using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/jichengdu/flux-pulid@sha256:ca0b96aa9f0d0a0a7962a727377806215df25a517865e5f6949f24a26c24d2a6 \
-i 'width=896' \
-i 'height=1152' \
-i 'prompt="portrait, color, cinematic"' \
-i 'true_cfg=1' \
-i 'id_weight=1' \
-i 'num_steps=20' \
-i 'start_step=0' \
-i 'num_outputs=1' \
-i 'output_format="webp"' \
-i 'guidance_scale=4' \
-i 'output_quality=80' \
-i 'negative_prompt="bad quality, worst quality, text, signature, watermark, extra limbs, low resolution, partially rendered objects, deformed or partially rendered eyes, deformed, deformed eyeballs, cross-eyed, blurry"' \
-i 'max_sequence_length=128'
To learn more, take a look at the Cog documentation.
Pull and run jichengdu/flux-pulid using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/jichengdu/flux-pulid@sha256:ca0b96aa9f0d0a0a7962a727377806215df25a517865e5f6949f24a26c24d2a6
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "width": 896, "height": 1152, "prompt": "portrait, color, cinematic", "true_cfg": 1, "id_weight": 1, "num_steps": 20, "start_step": 0, "num_outputs": 1, "output_format": "webp", "guidance_scale": 4, "output_quality": 80, "negative_prompt": "bad quality, worst quality, text, signature, watermark, extra limbs, low resolution, partially rendered objects, deformed or partially rendered eyes, deformed, deformed eyeballs, cross-eyed, blurry", "max_sequence_length": 128 } }' \ http://localhost:5000/predictions
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Output
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