Any-to-Any
Diffusers
Safetensors
qwen2_5_vl
dfloat11
df11
lossless compression
70% size, 100% accuracy
Instructions to use DFloat11/OmniGen2-transformer-DF11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DFloat11/OmniGen2-transformer-DF11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DFloat11/OmniGen2-transformer-DF11", 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
Ctrl+K
- 1.52 kB
- 2.18 kB
- 1.3 kB
- 127 MB xet
- 127 MB xet
- 19.1 MB xet
- 143 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 142 MB xet
- 143 MB xet
- 144 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 142 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet
- 143 MB xet