Instructions to use codermert/ayd_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/ayd_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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codermert/ayd_flux") prompt = "ser" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9e52e25509a91b335daba3ba66ed6fd81c5cd3e58261a3224825518f59d1ba45
- Size of remote file:
- 173 MB
- SHA256:
- 12c3a93498dcb03148444df6bfc5c5f0fd069f4e793648829568b746f7eb9676
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