Den_ComfyUI_Workflow

Den_ComfyUI_Workflow
★ 4

高级工作流图像/视频处理ControlNet优化潜空间操作
提供一组自定义节点，简化高级工作流，优化图像/视频与ControlNet性能，支持潜空间操作与自动化管线。
💡 用于构建高效的图像/视频自动化生成与ControlNet流程。
🍴 2 Forks💻 Python🔄 2025-05-07
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https://pan.quark.cn/s/79aaff81621b
ComfyUI Screenshot
ComfyUI Screenshot
📄 README

Den_ComfyUI_Workflows

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Custom nodes make easy Advanced Workflows.

Focus on Image\Video and ControlNet efficiency and performances.

Manipulation of Latent Space, Automatic pipeline with a bit efforts.

New Nodes in pack Den Workflow ComfyUI

ImageToLatent node: Den_ImageToLatentSpace

GPT Sampler: Den_GPTSampler_llama

GPT load: Den_GPTLoaderSimple_llama

SD Video: Den_SVD_img2vid

FaceRestore Model codeformer: Den_FaceRestoreCFWithModel

Using GPT & LLM models : Llava,GGUF

https://huggingface.co/models?library=gguf&sort=trending&search=llava

can put models to path comfyui

ComfyUI\models\GPTcheckpoints\llava

Have 2 folders for Clip and Model gguf or must create this folders and put new models

ComfyUI\models\GPTcheckpoints\llava\clips

ComfyUI\models\GPTcheckpoints\llava\models

GPT load: Den_GPTLoaderSimple_llama

  • Load Model and Clip for LLM

    • GPT Sampler: Den_GPTSampler_llama

  • Sampler Llama with using Cache for Acceleration
  • Example Workflow GPT-SD

    • SD Video: Den_SVD_img2vid

  • SVD from size Image for init Latent Space SVD Model

    • ImageToLatent node: Den_ImageToLatentSpace

  • Latent space from size Image
  • FaceRestore With Model Gan or CodeFormer

    • How Install. Manager->Install via Git URL -> Enter Git Address