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
Download images/ComfyUI_00098_.jpeg from ali-vilab/In-Context-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 127 kB
-
https://huggingface.co/ali-vilab/In-Context-LoRA/resolve/main/images/ComfyUI_00098_.jpeg
- Command line
-
hf download hf://ali-vilab/In-Context-LoRA/images/ComfyUI_00098_.jpeg
-
curl -L -o ComfyUI_00098_.jpeg https://huggingface.co/ali-vilab/In-Context-LoRA/resolve/main/images/ComfyUI_00098_.jpeg
127 kB

- Xet hash:
- 511ec0c7f4835d8ad30ba46c3aa6a499e1c63908e68ada73f59d15acf8f67e26
- Size of remote file:
- 127 kB
- SHA256:
- cc6bc2fa0aacae9c81fdb2c404c7af234d5ea4e762ae131d6558f914e58ce880
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