Instructions to use SYZhang0805/DisBack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SYZhang0805/DisBack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SYZhang0805/DisBack", 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
- Draw Things
- DiffusionBee
Link model to paper
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by nielsr HF Staff - opened
README.md
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- text-to-image
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- stable-diffusion
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- diffusion distillation
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## Credits
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DisBack is highly built on the following amazing open-source projects:
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- text-to-image
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- stable-diffusion
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- diffusion distillation
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}
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```
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Paper: https://huggingface.co/papers/2408.15991
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## Credits
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DisBack is highly built on the following amazing open-source projects:
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