Instructions to use OnlyTepor/LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OnlyTepor/LoRA 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-Krea-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("OnlyTepor/LoRA") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 9 files
Browse files- Wan2.2_Model-1_HighNoise.safetensors +3 -0
- Wan2.2_Model-1_LowNoise.safetensors +3 -0
- images/fafsafasf.png +3 -0
- images/fsfsfsssfsfsfs.png +3 -0
- images/rgthree.compare._temp_aexzc_00001_.png +3 -0
- images/rgthree.compare._temp_mrtoj_00001_.png +3 -0
- images/sfsf00002_.png +3 -0
- mhox001_Flux.safetensors +3 -0
- mhox001_Wan22__LowNoise.safetensors +3 -0
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