Instructions to use sdyy/OmniGen_quantization2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sdyy/OmniGen_quantization2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdyy/OmniGen_quantization2", 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

- Xet hash:
- 676126c4e8056784d0e8658bda311ebe1d599128726138b81fd7c001f0e2072a
- Size of remote file:
- 3.42 MB
- SHA256:
- 0517c97c947f8226f0f39b4ca2ac61b058e52faa59ec5085668062d0162dd21e
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