Instructions to use AlexanderLab/tfk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/tfk 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("AlexanderLab/tfk") prompt = "TFK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ef2f3a68722241e8ce9bace03cebbb6f2578a95ce2311cc75c4dcee58fd3d32b
- Size of remote file:
- 344 MB
- SHA256:
- 8fed0dc782644afec9bf42e1558d8e4fdb1afda8270b971f4a6bba4e03014f54
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