Instructions to use thompa/rothless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thompa/rothless 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("thompa/rothless") prompt = "r00thless" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cbf7f0cef2e15daa1540a0f31befd3c0a726f4245851b125e8cc99d523149509
- Size of remote file:
- 173 MB
- SHA256:
- 2afeddd56746e19008bd5200d688f7c8e3deb9b9221df8ae2d92055804f7ccc1
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