Instructions to use rupeshs/FLUX.1-schnell-openvino-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rupeshs/FLUX.1-schnell-openvino-int4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rupeshs/FLUX.1-schnell-openvino-int4", 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
Rename text_encoder/text_encoder_int4.xml to text_encoder/text_encoder.xml
Browse files
text_encoder/{text_encoder_int4.xml → text_encoder.xml}
RENAMED
|
File without changes
|