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 Settings
- Draw Things
- DiffusionBee
Download processor/merges.txt from NucleusAI/Nucleus-Image: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/NucleusAI/Nucleus-Image/resolve/main/processor/merges.txt
- Command line
-
hf download hf://NucleusAI/Nucleus-Image/processor/merges.txt
-
curl -L -o merges.txt https://huggingface.co/NucleusAI/Nucleus-Image/resolve/main/processor/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.