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SDXL ControlNet OpenPose with LoRA Support
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run juergengunz/sdxl-openpose-lora 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": "juergengunz/sdxl-openpose-lora:c20d10c1aa5cd40f0327fc863a06342bbf30a7897fe366a4dad494a92d77a0f4",
"input": {
"prompt": "An portrait of an astronaut standing on the moon",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.8,
"num_outputs": 1,
"refine_steps": 10,
"guidance_scale": 5,
"apply_watermark": false,
"condition_scale": 0.9,
"negative_prompt": "",
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
No output yet! Press "Submit" to start a prediction.
This model costs approximately $0.025 to run on Replicate, or 40 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 27 seconds.
This model doesn't have a readme.