Instructions to use BoneAppleT/TimbaMainTOK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BoneAppleT/TimbaMainTOK 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("BoneAppleT/TimbaMainTOK") prompt = "TimbaMainTOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d3ee33fbb38e52c513588733fd1b6ec59e093a460ec70e0cefad0171541cca5d
- Size of remote file:
- 172 MB
- SHA256:
- 19a6efb22c0a365de6f4f24122bc820e41bcce4548e74820ffb9c1adc195d58c
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