Instructions to use dosesnrolls1/lex-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dosesnrolls1/lex-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dosesnrolls1/lex-lora") prompt = "lora_lex" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7ad1b1712ff419f84ff1e61812c299f3dad9db1d8aabac9329d5708460acdce3
- Size of remote file:
- 89.7 MB
- SHA256:
- 8365112be2f04a4a8d86f1acf1d0ab1d39d8cd2b1969624b091fab4c7fbef6f5
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