Instructions to use LHRuig/idsx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/idsx 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("LHRuig/idsx") prompt = "suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/suit.jpg +3 -0
- lora.safetensors +3 -0
images/suit.jpg
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Git LFS Details
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3977e9f42e7e13d85779d777bce40907da9c0ede2e58cbd29f76dd7396fc651
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size 171969424
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