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:
- 9f703fe1820cc6a2386353a1d0649af3003a3c1dc3e0a5dc69107d5c8d1241ba
- Size of remote file:
- 614 MB
- SHA256:
- 34e2144d3cd65360f97d09ccbe03e1c39a096df6c9234af5fe3899d1b63cda39
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