[Feature]Add Data-free distillation readme (#710)

This commit is contained in:
Yongqi Chen
2025-08-05 14:27:39 -04:00
committed by GitHub
parent 7d8cf38dbe
commit 1d018acb3e
5 changed files with 37 additions and 2 deletions
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@@ -6,7 +6,7 @@ We introduce a new finetuning strategy - **Sparse-distill**, which jointly integ
We provide two distilled models:
- **[FastWan2.1-T2V-1.3B-Diffusers](https://huggingface.co/FastVideo/FastWan2.1-T2V-1.3B-Diffusers)**: 3-step inference, up to **20 FPS** on H100 GPU
- **[FastWan2.1-T2V-1.3B-Diffusers](https://huggingface.co/FastVideo/FastWan2.1-T2V-1.3B-Diffusers)**: 3-step inference, up to **16 FPS** on H100 GPU
- **[FastWan2.1-T2V-14B-480P-Diffusers](https://huggingface.co/FastVideo/FastWan2.1-T2V-14B-480P-Diffusers)**: 3-step inference, up to **60x speed up** at 480P, **90x speed up** at 720P for denoising loop
- **[FastWan2.2-TI2V-5B-FullAttn-Diffusers](https://huggingface.co/FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers)**: 3-step inference, up to **50x speed up** at 720P for denoising loop
@@ -53,3 +53,9 @@ out = sliding_tile_attention(q, k, v, window_size, text_length)
out = sliding_tile_attention(q, k, v, window_size, 0, False)
```
# 🚀Inference
```bash
bash scripts/inference/v1_inference_wan_STA.sh
```
@@ -59,3 +59,9 @@ from vsa import video_sparse_attn
output = video_sparse_attn(q, k, v, variable_block_sizes, topk, block_size, compress_attn_weight)
```
# 🚀Inference
```bash
bash scripts/inference/v1_inference_wan_VSA.sh
```