Instructions to use wolfer45/dtwrcowgirl-low-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/dtwrcowgirl-low-v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/dtwrcowgirl-low-v1.0") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 97079fbf71daa068816a66146ce6dc8db0734fd7b1fcce1f253c23e11ca5cdf6
- Size of remote file:
- 307 MB
- SHA256:
- 0d35c1b6c85fa18cb4605a7bfb6c1a8cec3fb277b6213e5d9629f647ef01a40e
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