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:
- b2fec07ec885f9e0a6f919e87721da18d60b4262e6061ee51956e28e23ce6124
- Size of remote file:
- 195 MB
- SHA256:
- e510a5e438aead078a2b34c7f6c833834737df50cf1ad5b535adbdb73015ac9d
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