Instructions to use mzbac/FLUX.2-dev-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mzbac/FLUX.2-dev-q8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mzbac/FLUX.2-dev-q8", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 189 Bytes
dbd3743 | 1 2 3 4 5 6 7 8 9 | {
"image_break_token": "[IMG_BREAK]",
"image_end_token": "[IMG_END]",
"image_token": "[IMG]",
"patch_size": 14,
"processor_class": "PixtralProcessor",
"spatial_merge_size": 2
}
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