Instructions to use Bercraft/Anima-Base-v1.0-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bercraft/Anima-Base-v1.0-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bercraft/Anima-Base-v1.0-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
f2706a5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fdcf606524892e35b270b96fc8bbd8d77e615ab882675a049f6e7c2ff6b71da3
size 269339400
|