Instructions to use ajinkyaT/flux-kontext-inpaint-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ajinkyaT/flux-kontext-inpaint-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("ajinkyaT/flux-kontext-inpaint-lora") prompt = "replace it" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a898ee39226546cdbbde210df2ed3d663416f72e81c0f867b893b12a2e06b745
- Size of remote file:
- 179 MB
- SHA256:
- d37cffbebcdf70fe8c358820ed7aea31e0df5d87145f0a68dc13d27aeaa03f35
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