Instructions to use Rand000mGuy/btbdds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/btbdds with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/btbdds") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
BA$ETITS (1).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcdd80a01a4cab21bdab016730c363d19c18ea71b0168dcd29bf736fc25f0342
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size 340194504
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images/450x_auto__so (3).webp
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Git LFS Details
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