Instructions to use codermert/mert_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/mert_flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codermert/mert_flux") prompt = "mert" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 708f1b6259f55b8bde6ae89e8804e455bd4346cd74093195eab5cd4ab3b4f435
- Size of remote file:
- 173 MB
- SHA256:
- 07acc22cf53d279e42ed56e47bed72c77e6f0c0a60f7900a8e0c2b4d5b812f35
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