Instructions to use aimalias/al0v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/al0v3 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("aimalias/al0v3") prompt = "A futuristic cyberpunk cityscape at night with neon signs reflecting in rain puddles, featuring a high-tech AL0V3 woman wearing iridescent chrome armor." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d368da7f313645dd0dd29eebd47230cdaac0d0c5d469535c9ac58feadcb6c989
- Size of remote file:
- 1.41 MB
- SHA256:
- 578382f946590b99b6d76f13a13d0ccd6bb3cca5b92316145354a3e384a30212
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