ComfyDeploy: How Eden.art nodesuite works in ComfyUI?

What is Eden.art nodesuite?

Maintained by Eden.art, this is a growing suite of custom nodes for building advanced pipelines.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for Eden.art nodesuite and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine
<h1>eden_comfy_pipelines</h1> <p>A collection of custom nodes and workflows for ComfyUI</p> <h2>Current nodes:</h2> <h3>CLIP_interrogator node</h3> <p>Based off <a href="https://github.com/pharmapsychotic/clip-interrogator">clip_interrogator</a>.</p> <img src="assets/CLIP_interrogator.png" alt="CLIP Interrogator Node Image" style="display: block; margin: auto; width: 50%;"> <p>This is a simple CLIP_interrogator node that has a few handy options:</p> <ul> <li>"keep_model_alive" will not remove the CLIP/BLIP models from the GPU after the node is executed, avoiding the need to reload the entire model every time you run a new pipeline (but will use more GPU memory).</li> <li>"prepend_BLIP_caption" can be turned off to only get the matching modifier tags but not use a BLIP-interrogation. Useful if you're using an image with IP_adapter and are mainly looking to copy textures, but not global image contents.</li> <li>"save_prompt_to_txt_file" to specify a path where the prompt is saved to disk.</li> </ul> <h3>VAEDecode_to_folder node</h3> <img src="assets/VAEDecode_to_folder.png" alt="VAE Decode to Folder Node Image" style="display: block; margin: auto; width: 50%;"> <p>Decodes VAE latents to imgs, but saves them directly to a folder. This allows rendering much longer videos with, for example, AnimateDiff (manual video compilation with ffmpeg required in post).</p> <h3>SaveImage node</h3> <img src="assets/SaveImage.png" alt="Save Image Node Image" style="display: block; margin: auto; width: 50%;"> <p>A basic Image saver with the option to add timestamps and to also save the entire pipeline as a .json file (so you can read prompts and settings directly from that .json file without loading the entire pipe).</p> <p><strong>NOTE:</strong> Some of the included nodes aren't finished yet!</p>