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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3315005585c86e957b4b1988e49ddb5510d34097060a5a9afc888905d16c523b
- Size of remote file:
- 4.63 GB
- SHA256:
- 139b767a3c66e250454fa1321ca01049a0e60941fb238cd34ade93edbb79b0b1
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