Instructions to use B4100/pretzel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/pretzel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/pretzel") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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- Xet hash:
- e4b258371b94751147c17dfb3754f3f61518a5d65de83bc793f0199d86b556f7
- Size of remote file:
- 2.95 MB
- SHA256:
- c7ef5e64c3969f2c2529bbe2301704c497f5fc6d669da688a6cebedecb3a7399
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