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", 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
- Xet hash:
- 73a4072eb0283bee298cd3577ee3a9e865f1ad2dbd963cf12c9e134288692edc
- Size of remote file:
- 307 MB
- SHA256:
- 1944a0ec1181550e5195cd88713be77deec8a58ba8e409b8869127b22924cc6f
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