pipelines-beta / arcn2

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  • 3 runs
  • Fine-tune
Iterate in playground

Input

pip install replicate
Set the REPLICATE_API_TOKEN environment variable:
export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:
import replicate

Run pipelines-beta/arcn2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pipelines-beta/arcn2:6912f585cf8ebe9328a32a8ba201d2aa5cf2c58da50e75a342048693f3386c6e",
    input={
        "crf": 19,
        "steps": 50,
        "width": 640,
        "height": 360,
        "prompt": "",
        "lora_url": "",
        "scheduler": "DPMSolverMultistepScheduler",
        "flow_shift": 9,
        "frame_rate": 16,
        "num_frames": 33,
        "enhance_end": 1,
        "enhance_start": 0,
        "force_offload": True,
        "lora_strength": 1,
        "enhance_double": True,
        "enhance_single": True,
        "enhance_weight": 0.3,
        "guidance_scale": 6,
        "denoise_strength": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.