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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 devinmancuso/tester-push using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"devinmancuso/tester-push:76f20f7fce4e7bc35aed440523dd713dce3606a6162c4819c2ad7ea6c70f3fdc",
input={
"width": 1024,
"height": 1024,
"prompt": "An astronaut riding a rainbow unicorn",
"lora_id": "galverse/mama-1.5",
"scheduler": "DPMSolverMultistep",
"lora_scale": 1,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"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.