Instructions to use datasysdev/lora-test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use datasysdev/lora-test-2 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("datasysdev/lora-test-2") prompt = "photo_teerak" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- db406518936a68dad2ced82bd440a9c6d67cf54a0935f184e951ae02a1a266d9
- Size of remote file:
- 172 MB
- SHA256:
- cbfa87a0989552b71b2af113d491245d1be19680396f4c114b9ff7f75a7cf607
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