Text-to-Image
Diffusers
Safetensors
English
NucleusMoEImagePipeline
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
- Draw Things
- DiffusionBee
Update transformer/config.json
Browse files- transformer/config.json +1 -1
transformer/config.json
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{
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"_class_name": "NucleusMoEImageTransformer2DModel",
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"_diffusers_version": "0.
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"patch_size": 2,
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"in_channels": 64,
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"out_channels": 16,
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{
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"_class_name": "NucleusMoEImageTransformer2DModel",
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"_diffusers_version": "0.38.0.dev0",
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"patch_size": 2,
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"in_channels": 64,
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"out_channels": 16,
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