Instructions to use onkarsus13/UniDFlowEdit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/UniDFlowEdit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("onkarsus13/UniDFlowEdit", 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
File size: 121 Bytes
24e94fa | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 126080,
"eos_token_id": 126081,
"transformers_version": "4.57.1"
}
|