Instructions to use animEEEmpire/AniMemory-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use animEEEmpire/AniMemory-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("animEEEmpire/AniMemory-alpha", 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
- Xet hash:
- 9bd54a03bcadc9dbfd378b6a60c824dbbb770ed22c40b3cdad86fb18b8f16ea6
- Size of remote file:
- 17.1 MB
- SHA256:
- d63ea22ce2c646e55084ebcef017e8f0e3cc7e02a9ace03ab1339912fe9d8439
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