Instructions to use Timsup/my-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Timsup/my-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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Timsup/my-lora") prompt = "in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cc183e3656a67141f78df424ad2f7e81c1b4a5401beb933cbf38a64b910f71ed
- Size of remote file:
- 173 MB
- SHA256:
- 29170de7a702b760ce7728eb090c2fa28709c4f0161e6a92d96c68c5f3d9e8c3
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