Instructions to use klckmd/bdsht with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use klckmd/bdsht with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("klckmd/bdsht") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from klckmd/bdsht: direct link, hf CLI and curl.
- Browser
- Download file 333 Bytes
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https://huggingface.co/klckmd/bdsht/resolve/main/README.md
- Command line
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hf download hf://klckmd/bdsht/README.md
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curl -L -o README.md https://huggingface.co/klckmd/bdsht/resolve/main/README.md
333 Bytes
