Instructions to use timduck8/Slammin_Assertive_Cowgirl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/Slammin_Assertive_Cowgirl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("timduck8/Slammin_Assertive_Cowgirl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e6f72359ca561c44880870454d1e4d7db9b6df782812553eeca07767138560a9
- Size of remote file:
- 17.7 kB
- SHA256:
- c56232ad5ac6f82e2ab0ddb2f96dd3e9beafc2f89d021ed606768cee97b5b4f5
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