Instructions to use feizhai123/flux2-dev-modelopt-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use feizhai123/flux2-dev-modelopt-fp8 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("feizhai123/flux2-dev-modelopt-fp8", 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: 155 Bytes
fe97816 | 1 2 3 4 5 6 7 8 9 | {
"_from_model_config": true,
"bos_token_id": 1,
"do_sample": true,
"eos_token_id": 2,
"temperature": 0.15,
"transformers_version": "4.57.6"
}
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