Instructions to use guillekenzo/guille with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guillekenzo/guille with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("guillekenzo/guille") prompt = "A cinematic shot of Guille as a futuristic cyberpunk detective standing in a rain-slicked neon alleyway, wearing a holographic trench coat." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b12769d7f1d4647430ed60403b59a1940a781c56c789a361bce594ca12f7cce7
- Size of remote file:
- 195 MB
- SHA256:
- a3a7ed5c3e1a91977fbd76b75b2c679e0871b507a251e22681d20339c8ed6bb8
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