Text-to-Image
Diffusers
Safetensors
GGUF
English
diffusion-distillation
adversarial-distillation
one-step
few-step
z-image-turbo
comfyui
nitrofusion2
Instructions to use ChenDY/NitroFusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChenDY/NitroFusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChenDY/NitroFusion2", 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 Settings
- Draw Things
- DiffusionBee
Commit History
8 days ago
-
Add NitroFusion2 transformer (diffusers, bf16)
Verified signatureZImageTransformer2DModel weights, 3 shards in the Z-Image-Turbo layout25ec4a6