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:
- 03be425fe449e9c41952aca676eca971955950c7bee395b0322c677bf2df3221
- Size of remote file:
- 195 MB
- SHA256:
- 7030a09e7e5709b888fb086e43ae20f458d903746f8ed57923734269b96e9afe
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