Instructions to use vs211/comfy-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vs211/comfy-models 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("vs211/comfy-models") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 63528cd45a61364b1acd579aea686fff0a8c99b425b6b75572ab38e80702dafd
- Size of remote file:
- 307 MB
- SHA256:
- 1ef9f1634197872154992b8cfd901572ec69b937e5e7b5a15c0682c87fc2d040
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