Instructions to use hustvl/Moebius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hustvl/Moebius with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hustvl/Moebius", 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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
ft_celebahq/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e2dad112e4208106e5f96c71b7769215abca8fe704d8df067b55dfa89935339
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size 904940132
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ft_ffhq/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:493b07424ba93f29d4606ba854b3aee36cd0f24ca10686dc93e2d02df9d7e0fa
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size 904940132
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ft_places2/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:28ceee814304650cd075c5ae5a8672ab5e352e478840dbb40d00363971a2ea60
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size 904940132
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pretrained/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6af9de9384528e9f0edcfb7a744331ccef47ed72f89398dc2df495aa099df0c0
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size 904940132
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