Instructions to use superdiff/superdiff-sdxl-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use superdiff/superdiff-sdxl-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("superdiff/superdiff-sdxl-v1-0", 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
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**BibTeX:**
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```
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@article{
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title={The Superposition of Diffusion Models Using the It$\backslash$\^{} o Density Estimator},
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author={Skreta, Marta and Atanackovic, Lazar and Bose, Avishek Joey and Tong, Alexander and Neklyudov, Kirill},
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journal={International Conference on Learning Representations},
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**BibTeX:**
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```
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@article{skreta2025superposition,
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title={The Superposition of Diffusion Models Using the It$\backslash$\^{} o Density Estimator},
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author={Skreta, Marta and Atanackovic, Lazar and Bose, Avishek Joey and Tong, Alexander and Neklyudov, Kirill},
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journal={International Conference on Learning Representations},
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