ComfyUI Extension: ComfyUI Razv WaveSpeed Nodes
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.
Custom ComfyUI nodes for integrating WaveSpeed AI API for image and video generation.
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Custom Nodes (44)
- WaveSpeedAI Alibaba Wan 2.5 Image Edit
- WaveSpeedAI ByteDance Seedream V4
- WaveSpeedAI Bytedance Seedream V4 Edit
- WaveSpeedAI Bytedance Seedream V4 Edit Sequential
- WaveSpeedAI ByteDance Seedream V4 Sequential
- WaveSpeedAI Client
- WaveSpeedAI Flux ControlNet Union Pro 2.0
- WaveSpeedAI Flux Kontext Dev
- WaveSpeedAI Flux Kontext Max
- WaveSpeedAI Flux Kontext Pro
- WaveSpeedAI Google Nano Banana Edit
- WaveSpeedAI Google Nano Banana Pro Edit
- WaveSpeedAI Google Nano Banana Pro Edit Multi
- WaveSpeedAI Google Nano Banana Pro Edit Ultra
- WaveSpeedAI Google Nano Banana Pro T2I
- WaveSpeedAI Google Nano Banana Pro T2I Multi
- WaveSpeedAI Google Nano Banana Pro T2I Ultra
- WaveSpeedAI Google Nano Banana Text-to-Image
- WaveSpeedAI Google VEO 3.1 Fast Image-to-Video
- WaveSpeedAI Google VEO 3.1 Fast Text-to-Video
- WaveSpeedAI Google VEO 3.1 Image-to-Video
- WaveSpeedAI Google VEO 3.1 Reference-to-Video
- WaveSpeedAI Google VEO 3.1 Text-to-Video
- WaveSpeedAI Image Upscaler
- WaveSpeedAI InfiniteTalk
- WaveSpeedAI InfiniteTalk Multi
- WaveSpeedAI OpenAI Sora 2 Image-to-Video
- WaveSpeedAI OpenAI Sora 2 Image-to-Video Pro
- WaveSpeedAI OpenAI Sora 2 Text-to-Video
- WaveSpeedAI OpenAI Sora 2 Text-to-Video Pro
- WaveSpeedAI Qwen Image Edit
- WaveSpeedAI Qwen Image Edit LoRA
- WaveSpeedAI Qwen Image Edit Plus
- WaveSpeedAI Qwen Image Edit Plus LoRA
- WaveSpeedAI Qwen Image Text-to-Image
- WaveSpeedAI Qwen Image Text-to-Image LoRA
- WaveSpeedAI RunwayML Upscale V1
- WaveSpeedAI WAN 2.2 Animate
- WaveSpeedAI Wan2.2 I2V 720p
- WaveSpeedAI WAN 2.5 Image-to-Video
- WaveSpeedAI WAN 2.5 Image-to-Video Fast
- WaveSpeedAI WAN 2.5 Text-to-Image
- WaveSpeedAI WAN 2.5 Text-to-Video
- WaveSpeedAI WAN 2.5 Text-to-Video Fast
README
ComfyUI Razv WaveSpeed Nodes
Custom ComfyUI nodes for integrating WaveSpeed AI API for image and video generation.
Features
- Multiple AI model integrations (Qwen, Google Nano Banana, etc.)
- Image generation, editing, and upscaling capabilities
- Video generation support
- Sync and async processing modes
- Automatic retry logic for network issues
Installation
Option 1: ComfyUI Manager (Recommended)
- Open ComfyUI Manager
- Search for "razv-wavespeed"
- Click Install
Option 2: Git Clone
cd ComfyUI/custom_nodes
git clone https://github.com/razvanmatei-sf/razv-wavespeed.git
cd razv-wavespeed/comfyui-razv-wavespeed-custom
pip install -r requirements.txt
Configuration
- Copy
config.ini.tmptoconfig.ini - Add your WaveSpeed API key to
config.ini:
[api]
key = your_wavespeed_api_key_here
Or provide the API key directly in the WaveSpeedAI Client node.
Available Nodes
Core Nodes
- WaveSpeedAI Client: Connection node for API authentication
- WaveSpeedAI Upload Image: Upload images and get URLs for processing
Generation Nodes
- Qwen Image Text to Image: Generate images from text prompts
- Qwen Image Edit: Edit existing images with prompts
- Google Nano Banana Edit: Advanced image editing
- Image Upscaler: Upscale images with AI
Workflow Pattern
Load Image → WaveSpeedAI Upload Image → WaveSpeedAI [Processing Node] → Preview Image
↓ ↑
WaveSpeedAI Client ←←←←←←←←←
Node Development
To add new WaveSpeed API models:
- Create a new
.pyfile incomfyui-razv-wavespeed-custom/py/ - Follow the template structure in existing nodes
- Register the node with
NODE_CLASS_MAPPINGSandNODE_DISPLAY_NAME_MAPPINGS
Requirements
- ComfyUI
- Python 3.8+
- See
requirements.txtfor Python dependencies
Troubleshooting
- SSL Errors: The client includes automatic retry logic with progressive backoff
- Missing Nodes: Restart ComfyUI after installation
- API Key Issues: Verify key in config.ini or node settings
License
MIT
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.