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", 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:
- 803bdabea83c0c1f1290293e09d7698be71ad2d641255c2a84a45f5eef71260b
- Size of remote file:
- 172 MB
- SHA256:
- 45d76fe12008cb2d7b0d8bfbad38c9270aef7dd34748f724b585ff403200ef03
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