Instructions to use wangkanai/wan21-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangkanai/wan21-vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangkanai/wan21-vae", 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
Add files using upload-large-folder tool
Browse files
README.md
CHANGED
|
@@ -8,7 +8,7 @@ tags:
|
|
| 8 |
- image-generation
|
| 9 |
---
|
| 10 |
|
| 11 |
-
<!-- README Version: v1.
|
| 12 |
|
| 13 |
# WAN2.1 VAE - 3D Causal Video Variational Autoencoder
|
| 14 |
|
|
@@ -275,7 +275,7 @@ For questions, issues, or collaboration inquiries:
|
|
| 275 |
|
| 276 |
---
|
| 277 |
|
| 278 |
-
**Version**: v1.
|
| 279 |
**Last Updated**: 2025-10-14
|
| 280 |
**Model Size**: 243 MB
|
| 281 |
**Format**: SafeTensors
|
|
|
|
| 8 |
- image-generation
|
| 9 |
---
|
| 10 |
|
| 11 |
+
<!-- README Version: v1.3 -->
|
| 12 |
|
| 13 |
# WAN2.1 VAE - 3D Causal Video Variational Autoencoder
|
| 14 |
|
|
|
|
| 275 |
|
| 276 |
---
|
| 277 |
|
| 278 |
+
**Version**: v1.3
|
| 279 |
**Last Updated**: 2025-10-14
|
| 280 |
**Model Size**: 243 MB
|
| 281 |
**Format**: SafeTensors
|