Instructions to use threecrowco/public_loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use threecrowco/public_loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("leejet/FLUX.2-klein-9B-GGUF", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("threecrowco/public_loras") prompt = "Make the image tcc_mtchbx style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/_app_ai-toolkit_output_tcc_mtchbx_v0.1_samples_1780000822933__000000700_1.jpg
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