ComfyUI-fal-API

ComfyUI-fal-API
★ 180

视频生成图像生成LLM/VLMComfyUI扩展
在ComfyUI中接入FAL API，支持Kling/Runway/Luma视频、Flux图像生成及OpenAI/Claude/Llama/Gemini等LLM/VLM调用，便于集中管理创作流程。
💡 在ComfyUI内调用FAL完成视频/图像生成与LLM交互。
🍴 50 Forks💻 Python🔄 2026-03-19
📦
网盘下载
复制链接后前往夸克网盘下载
https://pan.quark.cn/s/6862a2001521
📦 requirements.txt
fal-client
torch
📄 README

ComfyUI-fal-API

Custom nodes for using Flux models with fal API in ComfyUI with only one API Key for all.

Table of Contents

  • Installation
  • Configuration
  • Usage
  • Available Nodes
  • Image Generation
  • Video Generation
  • Language Models (LLMs)
  • Vision Language Models (VLMs)
  • Troubleshooting
  • License

    • Installation

  • Navigate to your ComfyUI custom nodes directory:

    • “`

    cd custom_nodes

    “`

  • Clone this repository:

    • “`

    git clone https://github.com/gokayfem/ComfyUI-fal-API.git

    “`

  • Install the required dependencies:

    • “`

    pip install -r requirements.txt

    “`

    Configuration

  • Get your fal API key from fal.ai

  • Open the config.ini file inside custom_nodes/ComfyUI-fal-API

  • Replace with your actual fal API key:

    • “`ini

    [API]

    FAL_KEY = your_actual_api_key

    “`

  • Alternatively, you can set the FAL_KEY environment variable:

    • “`bash

    export FAL_KEY=your_actual_api_key

    “`

    Usage

    After installation and configuration, restart ComfyUI. The new nodes will be available in the node browser under the “FAL” category.

    Available Nodes

    Image Generation

  • Flux Pro (fal): Generate high-quality images using the Flux Pro model
  • Flux Dev (fal): Use the development version of Flux for image generation
  • Flux Schnell (fal): Fast image generation with Flux Schnell
  • Flux Pro 1.1 (fal): Latest version of Flux Pro for image generation
  • Flux Pro 1 Fill (fal): Image-to-image generation with mask-based fill capabilities
  • Flux Ultra (fal): Ultra-high quality image generation with advanced controls
  • Flux General (fal): ControlNets, Ipadapters, Loras for Flux Dev
  • Flux LoRA (fal): Flux with dual LoRA support for custom styles
  • Flux Pro Kontext (fal): Context-aware single image-to-image generation with max_quality toggle
  • Flux Pro Kontext Multi (fal): Multi-image composition (2-4 images) with context awareness and max_quality toggle
  • Flux Pro Kontext Text-to-Image (fal): Text-to-image with aspect ratio controls and max_quality toggle
  • Recraft V3 (fal): Professional design generation with multiple style options
  • Sana (fal): High-quality image synthesis with ultra-high resolution support
  • HiDream Full (fal): Advanced image generation with comprehensive parameter control
  • Ideogram v3 (fal): Advanced text-to-image generation with typography support
  • Clarity Upscaler (fal): Clarity upscaler for upscaling images with high very fidelity
  • Seedvr Upscaler (fal): Use SeedVR2 to upscale your images
  • Imagen4 Preview (fal): Use Imagen4 (Preview version) to generate images
  • Qwen Image Edit (fal): Use Qwen to edit images
  • Qwen Image Edit Plus with LoRAs (fal): Use Qwen Image Edit Plus with LoRA support to edit images
  • SeedEdit 3.0 (fal): Use SeedEdit 3.0 to edit images
  • Seedream 4.0 Edit (fal): Use Seedream 4.0 to edit images
  • Nano Banana Text-to-Image (fal): Use Nano Banana to generate images
  • Nano Banana Edit (fal): Use Nano Banana to edit images
  • Nano Banana Pro (fal): Unified node for both text-to-image and image editing with Nano Banana Pro
  • Nano Banana 2 (fal): Unified node for text-to-image and image editing with Nano Banana 2 (Gemini 3.1 Flash Image) with multi-resolution (0.5K-4K) and optional web search grounding
  • Reve Text-to-Image (fal): Use Reve’s image model to generate images
  • Dreamina v3.1 Text-to-Image (fal): Use Dreamina v3.1 to generate images
  • GPT-Image 1.5 (fal): High-fidelity text-to-image generation with strong prompt adherence
  • GPT-Image 1.5 Edit (fal): High-fidelity image editing with strong prompt adherence (supports up to 16 batched images and optional mask)
  • DY Wan Fun 2.2 (fal): Generate images using DY Wan Fun 2.2 model
  • DY Wan Upscaler (fal): Upscale images using DY Wan Upscaler

    • Video Generation

  • Infinity Star Text-to-Video (fal): Generate videos using Infinity Star and text prompts
  • Kling Video Generation (fal): Generate videos using the Kling model
  • Kling Pro v1.0 Video Generation (fal): Original version of Kling Pro for video generation
  • Kling Pro v1.6 Video Generation (fal): Latest version of Kling Pro with improved quality
  • Kling Master v2.0 Video Generation (fal): Advanced video generation with Kling Master
  • Kling Pro 2.1 Video Generation (fal): Video Generation with Kling Pro with First Frame Last Frame support
  • Kling v2.5 Turbo Pro Image-to-Video (fal): Video Generation with Kling Turbo with First Frame Last Frame support
  • Kling Omni Image-to-Video (fal): Kling Omni image-to-video generation with start/end image support
  • Kling Omni Reference-to-Video (fal): Generate videos with reference images and elements
  • Kling Omni Video-to-Video Edit (fal): Edit videos with prompts and reference images
  • Kling Omni Video-to-Video Reference (fal): Video-to-video with reference image control
  • Kling v2.6 Pro Video Generation (fal): Unified T2V/I2V with native audio generation
  • Kling V3 Standard Video Generation (fal): Kling 3.0 Standard unified T2V/I2V with 1080p, 3-15s duration, native audio, and end frame control
  • Kling V3 Pro Video Generation (fal): Kling 3.0 Pro unified T2V/I2V with higher quality cinematic output (3-15s)
  • Kling V3 Standard Motion Control (fal): Character animation via motion transfer from reference video
  • Kling V3 Pro Motion Control (fal): Pro-quality character animation via motion transfer from reference video
  • Kling O3 Standard Video Generation (fal): Kling O3 Standard unified T2V/I2V with 3-15s duration and native audio
  • Kling O3 Pro Video Generation (fal): Kling O3 Pro unified T2V/I2V with highest quality output (3-15s)
  • Krea Wan 14b Video-to-Video (fal): Video-to-Video generation using Krea Wan 14b model
  • Runway Gen3 Image-to-Video (fal): Convert images to videos using Runway Gen3
  • Luma Dream Machine (fal): Create videos with Luma Dream Machine
  • MiniMax Video Generation (fal): Generate videos using MiniMax model
  • MiniMax Text-to-Video (fal): Create videos from text prompts using MiniMax
  • MiniMax Subject Reference (fal): Generate videos with subject reference using MiniMax
  • Pixverse Swap (fal): Swap a person, object, or background in a video using Pixverse Swap
  • Google Veo2 Image-to-Video (fal): Convert images to videos using Google’s Veo2 model
  • Veo3 Video Generation (fal): Text-to-video generation with Google Veo3 model
  • Veo 3.1 First-Last-Frame-to-Video (fal): First Frame – Last Frame (Optional) video generation using the full VEO 3.1 model
  • Veo 3.1 Fast First-Last-Frame-to-Video (fal): First Frame – Last Frame (Optional) video generation using the fast VEO 3.1 model
  • Wan Pro Image-to-Video (fal): High-quality video generation with Wan Pro model
  • Wan 2.5 Preview Image-to-Video (fal): Image-to-video generation with the latest Wan 2.5 preview model
  • Wan VACE Video Edit (fal): Video + Reference Images to video generation with Wan VACE
  • Wan 2.2 VACE Fun 14b (fal): Video editing with Wan 2.2 VACE Fun 14b model for pose and depth control
  • Wan 2.2 14b Animate: Replace Character (fal): Animate video content by replacing the foreground character with a new or augmented character using Wan 2.2 14b
  • Wan 2.2 14b Animate: Move Character (fal): Animate video content by moving the foreground character within the scene using Wan 2.2 14b
  • Wan 2.6 Video Generation (fal): Unified T2V/I2V node – generates video from text, or from image if provided
  • Wan 2.6 Reference-to-Video (fal): Generate videos with subject consistency using up to 3 reference videos (@Video1, @Video2, @Video3 in prompt)
  • Seedance Image-to-Video (fal): Convert images to videos using Seedance Lite model
  • Seedance Text-to-Video (fal): Generate videos from text prompts using Seedance Lite model
  • Seedance Pro Image-to-Video (fal): Convert images to videos using Seedance Pro model with advanced controls
  • Sora 2 Pro Image-to-Video (fal): Generate Videos from an image input using OpenAI Sora 2 Pro
  • Video Upscaler (fal): Upscale video quality using AI
  • Seedvr Upscale Video (fal): Upscale video quality using Seedvr
  • Bria Video Increase Resolution (fal): Increase video resolution using Bria
  • Topaz Upscale Video (fal): Upscale video quality using Topaz
  • Combined Video Generation (fal): Generate videos using multiple services simultaneously
  • Supports Kling Pro v1.6, Kling Master v2.0, MiniMax, Luma, Veo2, and Wan Pro
  • Each service can be individually enabled/disabled
  • Wan Pro runs with safety checker enabled and automatic seed selection
  • Load Video from URL: Load and process videos from a given URL

    • Language Models (LLMs)

  • LLM (fal): Large Language Model for text generation and processing VIA openrouter endpoint
  • Available models:
  • google/gemini-2.5-flash
  • anthropic/claude-sonnet-4.5
  • openai/gpt-4.1
  • openai/gpt-oss-120b
  • meta-llama/llama-4-maverick
  • custom (Get model name from openrouter)’

    • Vision Language Models (VLMs)

  • VLM (fal): Vision Language Model for image understanding and text generation VIA openrouter endpoint
  • Available models:
  • google/gemini-2.5-flash
  • anthropic/claude-sonnet-4.5
  • openai/gpt-4o
  • qwen/qwen3-vl-235b-a22b-instruct
  • x-ai/grok-4-fast
  • custom (Get model name from openrouter)
  • Supports various tasks such as image captioning, visual question answering, and more

    • Troubleshooting

    If you encounter any errors during installation or usage, try the following:

  • Ensure you have the latest version of ComfyUI installed
  • Update this custom node package:

    • “`

    cd custom_nodes/ComfyUI-fal-API

    git pull

    pip install -r requirements.txt

    “`

  • If you’re using ComfyUI Windows Portable, you may need to install fal-client manually:

    • “`

    ComfyUI_windows_portable>.\python_embeded\python.exe -m pip install fal-client

    “`

    License

    This project is licensed under the Apache License 2.0. See the LICENSE file for details.

    Contributing

    Contributions are welcome! Please feel free to submit a Pull Request.

    Support

    If you encounter any issues or have questions, please open an issue on the GitHub repository.