chenchenghao/sglang
1
0
Fork 0
Code Issues Pull Requests Actions 11 Packages Projects Releases Wiki Activity

[diffusion] feat: implement upscaling (#19723)

Browse Source
This commit is contained in:
Junhao Liu
2026-03-08 11:06:40 -07:00
committed by GitHub
parent b77dd41db0
commit 7662b8b919
17 changed files with 1005 additions and 63 deletions
Download Patch File Download Diff File Expand all files Collapse all files

31
docs/diffusion/api/cli.md
View File

@@ -41,33 +41,12 @@ The SGLang-diffusion CLI provides a quick way to access the inference pipeline f
- `--fps {FPS}`: Frames per second for the saved output, if this is a video-generation task
**Frame Interpolation** (video only)
**Post-Processing** (frame interpolation & upscaling)
Frame interpolation is a post-processing step that synthesizes new frames
between each pair of consecutive generated frames, producing smoother
motion without re-running the diffusion model. The `--frame-interpolation-exp`
flag controls how many rounds of interpolation to apply: each round inserts one
new frame into every gap between adjacent frames, so the output frame count
follows the formula **(N − 1) × 2^exp + 1** (e.g. 5 original frames with
`exp=1` → 4 gaps × 1 new frame + 5 originals = **9** frames; with `exp=2` →
**17** frames).
- `--enable-frame-interpolation`: Enable frame interpolation. Model weights are downloaded automatically on first use.
- `--frame-interpolation-exp {EXP}`: Interpolation exponent — `1` = 2× temporal resolution, `2` = 4×, etc. (default: `1`)
- `--frame-interpolation-scale {SCALE}`: RIFE inference scale; use `0.5` for high-resolution inputs to save memory (default: `1.0`)
- `--frame-interpolation-model-path {PATH}`: Local directory or HuggingFace repo ID containing RIFE `flownet.pkl` weights (default: `elfgum/RIFE-4.22.lite`, downloaded automatically)
Example — generate a 5-frame video and interpolate to 9 frames ((5 − 1) × 2¹ + 1 = 9):
```bash
sglang generate \
--model-path Wan-AI/Wan2.2-T2V-A14B-Diffusers \
--prompt "A dog running through a park" \
--num-frames 5 \
--enable-frame-interpolation \
--frame-interpolation-exp 1 \
--save-output
```
SGLang diffusion supports optional post-processing steps — frame interpolation
(RIFE) for smoother video and upscaling (Real-ESRGAN) for higher resolution.
See the dedicated **[Post-Processing](post_processing.md)** page for full
details, supported models, and examples.
**Output Options**