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An unofficial, streamlined, and highly optimized ComfyUI implementation of TeleStyle.
This node is specifically designed for Video Style Transfer using the Wan2.1-T2V architecture and TeleStyle custom weights. Unlike the original repository, this implementation strips away all heavy image-editing components (Qwen weights) to focus purely on video generation with speed/quality.
Quellen
3 QuellenVerifiziert 11. Sept.
Quellenauszüge
1 AuszugSource context: Repo aistudynow/Comfyui-tetestyle-image-video
Youtube Tutorial: https://www.youtube.com/watch?v=yHbaFDF083o
High Performance:
Simplified Workflow: No need for complex external text encoding nodes. The model uses pre-computed stylistic embeddings (prompt_embeds.pth) for maximum efficiency.
Navigate to your ComfyUI custom nodes directory:
cd ComfyUI/custom_nodes/
Clone this repository:
git clone https://github.com/aistudynow/Comfyui-tetestyle-image-video.git
Install dependencies:
pip install -r requirements.txt
Note: For SageAttention support, you may need to install
sageattentionmanually.
This node requires specific weights placed in the ComfyUI/models/telestyle_models/ directory.
The weights are downloaded automatically at the first run
Directory Structure:
ComfyUI/
└── models/
└── telestyle_models/
├── weights/
│ ├── dit.ckpt # Main Video Transformer weights
│ └── prompt_embeds.pth # Pre-computed style embeddings
└── Wan2.1-T2V-1.3B-Diffusers/
│ ├── transformer_config.json
│ ├── vae/
│ │ │ ├── diffusion_pytorch_model.safetensors
│ │ │ └── config.json
│ └── scheduler/
│ └── scheduler_config.json
Where to get weights:
Import:
workflow/TeleStyle_Qwen_FP8_Image.jsonExpected model files:
models/unet/Qwen-Image-Edit-2509_fp8_e4m3fn.safetensorsmodels/clip/qwen_2.5_vl_7b.safetensorsmodels/vae/qwen_image_vae.safetensorsmodels/loras/diffsynth_Qwen-Image-Edit-2509-telestyle.safetensorsmodels/loras/diffsynth_Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensorsThis node loads the necessary model components.
| Parameter | Description |
|---|---|
dtype | Choose between bf16 (best quality), fp16 |
The main inference node.
| Parameter | Description |
|---|---|
model | Connect the output from the Loader |
video_frames | Input video batch (from Load Video or VHS_LoadVideo) |
Knoten in diesem Paket
4 Knoten (Plural)Verifiziert 5. Aug.
Verifiziert 11. Sept.