Instructions to use codermert/mert2_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/mert2_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/mert2_flux") prompt = "mert" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5c5fc8a9f01745639682f7911909d61643567f565e94a25e98dc3e2e09c4710c
- Size of remote file:
- 173 MB
- SHA256:
- 15e2ae7c39b50dcce17df04798a67d730b859d70f7be501c88071696d0cfdba9
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