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", torch_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
| { | |
| "double_z": false, | |
| "z_channels": 4, | |
| "resolution": 256, | |
| "in_channels": 3, | |
| "out_ch": 3, | |
| "ch": 256, | |
| "ch_mult": [1, 2, 2, 4], | |
| "block_out_channels": [256, 512, 512, 1024], | |
| "num_res_blocks": 2, | |
| "attn_resolutions": [32], | |
| "dropout": 0.0, | |
| "scaling_factor": 1.0 | |
| } |