Instructions to use digidan/danny_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digidan/danny_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("digidan/danny_lora") prompt = "Danny" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6b8a6ea5f5d34226d2c92c500a21126c62da0592bfb1679a82ed897139c9cea3
- Size of remote file:
- 173 MB
- SHA256:
- ad25011754179775a0937a051f76de4cb922282f37d37b97e9cff0d6c2c04904
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