Instructions to use vladmandic/longanimatediff-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/longanimatediff-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/longanimatediff-64", 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
Commit ·
82a90c8
1
Parent(s): 0ee3535
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -11,7 +11,7 @@
|
|
| 11 |
"motion_attention_bias": false,
|
| 12 |
"motion_cross_attention_dim": null,
|
| 13 |
"motion_layers_per_block": 2,
|
| 14 |
-
"motion_max_seq_length":
|
| 15 |
"motion_mid_block_layers_per_block": 1,
|
| 16 |
"motion_norm_num_groups": 32,
|
| 17 |
"motion_num_attention_heads": 8,
|
|
|
|
| 11 |
"motion_attention_bias": false,
|
| 12 |
"motion_cross_attention_dim": null,
|
| 13 |
"motion_layers_per_block": 2,
|
| 14 |
+
"motion_max_seq_length": 128,
|
| 15 |
"motion_mid_block_layers_per_block": 1,
|
| 16 |
"motion_norm_num_groups": 32,
|
| 17 |
"motion_num_attention_heads": 8,
|