Instructions to use ali-vilab/In-Context-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ali-vilab/In-Context-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("ali-vilab/In-Context-LoRA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Update README.md
Verified signature16dae42
-
Update README.md
Verified signaturebd98182
-
Update README.md
Verified signature3b4d5f3 -
Upload 9 files
Verified signatureb74ddad
-
Update README.md
Verified signature5eb48ac -
Update README.md
Verified signature4ad75b6 -
Update README.md
Verified signature4378899 -
Update README.md
Verified signature6931169 -
Update README.md
Verified signature836aa9a -
Upload 2 files
Verified signature768cbb0 -
Delete images/teaser.jpg
Verified signature957d8b3 -
Update README.md
Verified signature41302fe -
Upload teaser.jpg
Verified signature73b4919 -
Add 11 files
Verified signature3d7167e -
initial commit
Verified signaturee965b13