Instructions to use wolfer45/dtwrcowgirl-high-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/dtwrcowgirl-high-v1 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-high-v1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 18095261f6659e70a5542b742e0a38d88d79024487a5ca8c41660fc1093b7355
- Size of remote file:
- 307 MB
- SHA256:
- 4fc1fd3caeb84e92e5d1a82a3b7ac235700c4b6e45b90d3d93699e4000868d6b
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