Instructions to use ambercd21/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ambercd21/lora 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("ambercd21/lora") prompt = "ambercd" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c971a6a45320d57dd234bd0d9cbbdf9f4d4e274882785577621feecb3e1007b2
- Size of remote file:
- 89.7 MB
- SHA256:
- 5fb6fd3a90cc217bcd3a230cae5e050ce49c1c4763535161d23c6b2c238638b8
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