Instructions to use LHRuig/candysx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/candysx 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/candysx") prompt = "suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- candy-sexy singer.safetensors +3 -0
- images/suit.jpg +3 -0
candy-sexy singer.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a467e42b155867bde85e4713301e35a55824974e6896f0878f7d18b568694c8
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size 171969416
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images/suit.jpg
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Git LFS Details
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