Instructions to use Shakker-Labs/FLUX.1-dev-LoRA-AntiBlur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shakker-Labs/FLUX.1-dev-LoRA-AntiBlur 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("Shakker-Labs/FLUX.1-dev-LoRA-AntiBlur") prompt = "a young college student, walking on the street, campus background, photography" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 92ed2e558964544c427382e967a7f5bb8ffe1bf6b12bdbd06789e5c615895c9f
- Size of remote file:
- 6.48 MB
- SHA256:
- fe45a0e9312acaa3e3be1606eb8e68f969a9066eff2eb6c5c2ab02e679c30e17
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