Instructions to use LHRuig/superblend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/superblend 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/superblend") prompt = "suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- Super-Blend-sexy model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d5d6870c9612359cad266e6e9cff126d00ca11f4c0b2911ac180285082fe6ff
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images/suit.jpg
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Git LFS Details
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