Instructions to use wolfer45/jfjdee2025low with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/jfjdee2025low 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("wolfer45/jfjdee2025low") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fd7c9a08fab4ffbb71149a83fa19057cf720ff1f29864d78ebec93e10e52839e
- Size of remote file:
- 307 MB
- SHA256:
- 2427d3ec2e5583368c54c8c8f46a064c17f5c9602ca2451610080164f09cfcb0
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