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
File size: 303 Bytes
84481a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"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
} |