Instructions to use Polycruz9/anime-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Polycruz9/anime-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Polycruz9/anime-v2") prompt = "animex, a vibrant cartoon drawing of a mans face is depicted. The mans eyes are a piercing blue, and he has a serious expression on his face. His hair is spiky, and his bangs are a darker shade of purple. His eyebrows are a lighter shade of brown, while his mouth is slightly open. He is wearing a red hoodie, and a black jacket with a white stripe down the center of his chest. The hoodie is draped over his shoulders, adding a pop of color to the otherwise monochromatic image. The background is a deep, vibrant purple, and there are a few wispy red lines running across the image, adding depth to the composition." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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