Instructions to use codermert/ser_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/ser_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/ser_flux") prompt = "ser" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 2edfe429df05767bd8ec74fe8efb3eba12137a9b1c9cc6909b55c0ece2d7509c
- Size of remote file:
- 173 MB
- SHA256:
- 20915a6bdff1051136d997c8bc319adcec23f2bc03becf8c4e39a0166976be6d
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