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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 denyschavez/sdxl-demo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"denyschavez/sdxl-demo:35ffc9d400b66e540af925cb79416ce1ebc2f3120b2c923e02f23c8b9e228ef0",
input={
"width": 1024,
"height": 1024,
"prompt": "An astronaut riding a rainbow unicorn",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"high_noise_frac": 0.8,
"negative_prompt": "",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
No output yet! Press "Submit" to start a prediction.
This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.