Instructions to use sd-dreambooth-library/baracus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/baracus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/baracus", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#5
by SFconvertbot - opened
safety_checker/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:08902f19b1cfebd7c989f152fc0507bef6898c706a91d666509383122324b511
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size 608018440
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:77795e2023adcf39bc29a884661950380bd093cf0750a966d473d1718dc9ef4e
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size 246144864
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:13bfd28fb86106f9385770953aed568e919ec1404126d0c5558422597c659bd1
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size 1719125304
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e26cc08b22706b424d8400f203befe9761065bc932a699e254c2bcd9fc5d1885
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size 167335350
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