zsxkib / wan2.1-with-lora-h100

  • Public
  • 216 runs
  • H100
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 zsxkib/wan2.1-with-lora-h100 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/wan2.1-with-lora-h100:9b04af9b5303f9acf9abfc7a67793bf45c6597e94035067b163c4d7c5396f7e3",
    input={
        "model": "14b",
        "frames": 81,
        "benchmark": False,
        "fast_mode": "Balanced",
        "resolution": "480p",
        "aspect_ratio": "16:9",
        "sample_shift": 8,
        "sample_steps": 30,
        "benchmark_runs": 10,
        "negative_prompt": "",
        "lora_strength_clip": 1,
        "sample_guide_scale": 5,
        "lora_strength_model": 1
    }
)

# 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.

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.