Instructions to use brunnolou/bruno-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brunnolou/bruno-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("brunnolou/bruno-lora") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 6ac51101e455f5bf6318afa37970525a11e7536117cc89853d6ff3ae9d418736
- Size of remote file:
- 173 MB
- SHA256:
- 548bbcc399677fcaf0f08a1312c1af5575f8202dbe494c12603b94781892a367
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