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:
- 8338703788d383a7472be66f0e5df8f71a26b82fa42959a2b2cb79eae8adab54
- Size of remote file:
- 614 MB
- SHA256:
- d6b783742f4d5fd63a0223ae1d5bf64fc995a6b408480ac2a00528ae0d4146db
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