Instructions to use anthienlong/lida with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anthienlong/lida 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("anthienlong/lida") prompt = "lida a beautiful woman in red long coat" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Flux lora Portrait lida_lora lida v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8cb4f7fd9d14fe4036e6784d15d31a64a948cacdcf24bcefeedf2a536cbbaaf
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size 39770968
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images/lida.png
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Git LFS Details
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