AccVideo support

README.md

@@ -18,12 +18,16 @@ WanGP supports the Wan (and derived models), Hunyuan Video and LTV Video models
 **Discord Server to get Help from Other Users and show your Best Videos:** https://discord.gg/g7efUW9jGV
 
 ## 🔥 Latest Updates
+### May 28 2025: WanGP v5.41
+👋 Bonus release: Support for **AccVideo** Lora to speed up x2 Video generations in Wan models. Check the Loras documentation to get the usage instructions of AccVideo.\
+You will need to do a *pip install -r requirements.txt*
+
 ### May 28 2025: WanGP v5.4
-👋 World Exclusive : Hunyuan Video Avatar Support ! You won't need 80 GB of VRAM nor 32 GB oF VRAM, just 10 GB of VRAM will be sufficient to generate up to 15s of high quality speech / song driven Video at a high speed with no quality degradation. Support for TeaCache included.\
+👋 World Exclusive : **Hunyuan Video Avatar** Support ! You won't need 80 GB of VRAM nor 32 GB oF VRAM, just 10 GB of VRAM will be sufficient to generate up to 15s of high quality speech / song driven Video at a high speed with no quality degradation. Support for TeaCache included.\
 Also many thanks to Reevoy24 for his repackaging / completing the documentation
 
 ### May 28 2025: WanGP v5.31
-👋 Added Phantom 14B, a model that you can use to transfer objects / people in the video. My preference goes to Vace that remains the king of controlnets.
+👋 Added **Phantom 14B**, a model that you can use to transfer objects / people in the video. My preference goes to Vace that remains the king of controlnets.
 VACE improvements: Better sliding window transitions, image mask support in Matanyone, new Extend Video feature, and enhanced background removal options.
 
 ### May 26, 2025: WanGP v5.3
@@ -33,7 +37,7 @@ VACE improvements: Better sliding window transitions, image mask support in Mata
 - Export/import settings as JSON files for easy sharing and backup
 
 ### May 20, 2025: WanGP v5.2
-👋 **CausVid support** - Generate videos in just 4-12 steps with the new distilled Wan model! Also added experimental MoviiGen for 1080p generation (20GB+ VRAM required).
+👋 **CausVid support** - Generate videos in just 4-12 steps with the new distilled Wan model! Also added experimental MoviiGen for 1080p generation (20GB+ VRAM required). Check the Loras documentation to get the usage instructions of CausVid.
 
 ### May 18, 2025: WanGP v5.1
 👋 **LTX Video 13B Distilled** - Generate high-quality videos in less than one minute!

docs/CHANGELOG.md

@@ -1,6 +1,9 @@
 # Changelog
 
 ## 🔥 Latest News
+### May 28 2025: WanGP v5.41
+👋 Bonus release: Support for **AccVideo** Lora to speed up x2 Video generations in Wan models. Check the Loras documentation to get the usage instructions of AccVideo.
+
 ### May 28 2025: WanGP v5.4
 👋 World Exclusive : Hunyuan Video Avatar Support ! You won't need 80 GB of VRAM nor 32 GB oF VRAM, just 10 GB of VRAM will be sufficient to generate up to 15s of high quality speech / song driven Video at a high speed with no quality degradation. Support for TeaCache included.
 

docs/LORAS.md

@@ -88,7 +88,7 @@ python wgp.py --lora-preset mypreset.lset
 - Presets include comments with usage instructions
 - Share `.lset` files with other users
 
-## CausVid Lora (Special)
+## CausVid Lora (Video Generation Accelerator)
 
 CausVid is a distilled Wan model that generates videos in 4-12 steps with 2x speed improvement.
 
@@ -125,6 +125,33 @@ WanGP supports multiple lora formats:
 - **Replicate** format
 - **Standard PyTorch** (.pt, .pth)
 
+## AccVid Lora (Video Generation Accelerator)
+
+AccVid is a distilled Wan model that generates videos with a 2x speed improvement since classifier free guidance is no longer needed (that is cfg = 1).
+
+### Setup Instructions
+1. Download the CausVid Lora:
+
+- for t2v models:
+   ```
+   https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_AccVid_T2V_14B_lora_rank32_fp16.safetensors
+   ```
+
+- for i2v models:
+   ```
+   https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_AccVid_I2V_480P_14B_lora_rank32_fp16.safetensors
+   ```
+
+2. Place in your `loras/` directory or `loras_i2v/` directory
+
+### Usage
+1. Select a Wan t2v model (e.g., Wan 2.1 text2video 13B or Vace 13B) or Wan i2v model
+2. Enable Advanced Mode
+3. In Advanced Generation Tab:
+   - Set Guidance Scale = 1
+   - Set Shift Scale = 5
+4. The number steps remain unchanged compared to what you would use with the original model but it will be two times faster since classifier free guidance is not needed
+
 ## Performance Tips
 
 ### Fast Loading/Unloading

requirements.txt

@@ -17,7 +17,7 @@ gradio==5.23.0
 numpy>=1.23.5,<2
 einops
 moviepy==1.0.3
-mmgp==3.4.7
+mmgp==3.4.8
 peft==0.14.0
 mutagen
 pydantic==2.10.6