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:
- 8be3da62cc1ee49fa568d8ea44154ac13963b93c10a9ddc2cf7ac339a9d63050
- Size of remote file:
- 14.5 GB
- SHA256:
- 1d28e3ae48a56d33a4805b1fec8b89a5451a2adab784afe25de50d076787d312
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