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:
- 4e025ada82f87ba358f82b3142a7dd5c70f4bc3dfd7563625a8c52c15126f0f7
- Size of remote file:
- 9.26 GB
- SHA256:
- 422de804d9643e4891081fd49012ec7d21a1a779f7c582ed4e77b54d061e65f7
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