Text-to-Image
Diffusers
Safetensors
English
Mixture of Experts
sparse-moe
diffusion
image-generation
Instructions to use NucleusAI/Nucleus-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NucleusAI/Nucleus-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NucleusAI/Nucleus-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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@@ -151,7 +151,7 @@ Nucleus-Image is licensed under [Apache 2.0](https://www.apache.org/licenses/LIC
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title={Nucleus-Image: Sparse MoE for Image Generation},
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author={Nucleus AI Team},
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year={2026},
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eprint={
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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}
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title={Nucleus-Image: Sparse MoE for Image Generation},
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author={Nucleus AI Team},
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year={2026},
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eprint={2604.12163},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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}
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