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ComfyUI Tutorial for Beginners: Full Node Graph Basics ( PT. 1 ) It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the... ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate. #comfyui #generativeai #genai #ai #comfyuitutorialshow more

Comfy

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26,100 views • 2 months ago •via TikTok

Science & Technology #comfyui #generativeai #genai #ai #comfyuitutorial

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ComfyUI Tutorial for Beginners: Full Node Graph Basics It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate.

ComfyUI Tutorial for Beginners: Full Node Graph Basics It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate.

ComfyUI

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ComfyUI Tutorial for Beginners: Text-to-Image & Image-to-Image Workflows One graph, two workflows and Module 2 is where you build it node by node instead of loading someone else's. We start from a blank canvas and wire every connection, then change a single value and turn the same graph into image-to-image. What you'll learn: → The 5 core nodes, connected one at a time — checkpoint, CLIP encode, KSampler, empty latent, VAE decode → Why the data flows the way it does, not just where the wires go → Every KSampler setting: seed, steps, CFG, sampler, scheduler → Denoise from 0.9 to 0.0 — the one value that decides how much of your source survives → Locking seeds and generating takes instead of chasing one perfect image → Preview vs. save, and why every image carries the graph that made it → Reopen any result in your asset library as a live workflow → The 6 errors that break Comfy most often → How to read a red node like a sentence Click the links below to run the workflow ⬇️

ComfyUI Tutorial for Beginners: Text-to-Image & Image-to-Image Workflows One graph, two workflows and Module 2 is where you build it node by node instead of loading someone else's. We start from a blank canvas and wire every connection, then change a single value and turn the same graph into image-to-image. What you'll learn: → The 5 core nodes, connected one at a time — checkpoint, CLIP encode, KSampler, empty latent, VAE decode → Why the data flows the way it does, not just where the wires go → Every KSampler setting: seed, steps, CFG, sampler, scheduler → Denoise from 0.9 to 0.0 — the one value that decides how much of your source survives → Locking seeds and generating takes instead of chasing one perfect image → Preview vs. save, and why every image carries the graph that made it → Reopen any result in your asset library as a live workflow → The 6 errors that break Comfy most often → How to read a red node like a sentence Click the links below to run the workflow ⬇️

ComfyUI

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How to Convert Your ComfyUI Workflow into an APP Mode Workflow App Mode is a new way to view and run any ComfyUI workflow. When you enter App Mode, the node graph disappears and is replaced by a clean, purpose-built interface: just the inputs your user needs.

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ComfyUI

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Comfy Desktop is here - one app for every Comfy. We rebuilt the desktop experience from the ground up. Your existing workflows, custom nodes, models, and settings carry over untouched. Same name, completely new app. What's new: → Multiple ComfyUI instances — different custom nodes, different versions, all managed in one place → Automatic snapshots before every update and custom node change, with one-click rollback if something breaks → Day-0 ComfyUI releases — the moment a new version or nightly drops, you can update immediately If you're on our older desktop app, you'll see an update prompt automatically.

Comfy Desktop is here - one app for every Comfy. We rebuilt the desktop experience from the ground up. Your existing workflows, custom nodes, models, and settings carry over untouched. Same name, completely new app. What's new: → Multiple ComfyUI instances — different custom nodes, different versions, all managed in one place → Automatic snapshots before every update and custom node change, with one-click rollback if something breaks → Day-0 ComfyUI releases — the moment a new version or nightly drops, you can update immediately If you're on our older desktop app, you'll see an update prompt automatically.

ComfyUI

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Two massive updates for the ComfyUI ecosystem today: 1️⃣ App Mode: The power of the node graph, now behind an easy-to-use interface. Turn complex workflows into custom apps. 2️⃣ ComfyHub: A brand new home to discover, run, and share community workflows and apps instantly via URL. Try ComfyHub preview via Create in App Mode. Share on ComfyHub. Learn more here:

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Comfy MCP is now local and open-source! The #1 ask after Comfy Cloud MCP shipped in June. Your agent sees your actual install. So every node, custom nodes included, and every model on disk. It fetches files, starts your instance, gets a workflow to the point where it runs. It is now the easiest way to help with your local Minimax H3 workflows! Cloud MCP still does everything it did. Tell your agent where a job goes, or let it decide.

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Nodes have always been a huge hurdle for two groups: non-technical creatives wanting to try ComfyUI, and builders with complex workflows they can't easily hand off. App Mode fixes both. Now you get the full power of node-based workflows without looking at a single node. Here's a quick demo to show you how easy it is to go from nodes → app

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Mattes and Utilities Demo: VFX artist Doug Hogan breaks down a ComfyUI workflow that generates production-ready utility passes directly from your footage. No manual rotoscoping. No guesswork. What's inside: → Prompt-based background removal (RMBG) for fast, clean shots → SAM3 text-prompt segmentation for moving subjects → SAM3 point-based editor for precise matte control → Face segmentation for beauty and skin work in comp → Stable depth and normals passes for relighting and CG integration → App Mode - a simplified UI that hides the node graph entirely Everything ties back to your source plate's native resolution and frame rate automatically via get/set nodes. This is the kind of workflow that used to take a team. Now it runs in ComfyUI. Click the link below for the workflow 👇

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Tutorial: ComfyUI Mattes & Utility Nodes Tutorial for VFX In this video, VFX artist Doug Hogan walks through a ComfyUI workflow for generating production-ready utility passes directly from your footage. No manual rotoscoping required. What's covered: → Prompt-based background removal (RMBG) for fast, simple shots → SAM3 text-prompt segmentation for moving subjects and medium-complexity scenes → SAM3 point-based editor for precise matte control (think: crypto mattes for live action) → Face segmentation for beauty and skin work in comp → Stable depth and normals passes for relighting and CG integration → App Mode — a simplified UI for running all options without touching the node graph All outputs are tied to your source plate's native resolution and frame rate via get/set nodes, so the workflow adapts automatically.

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ComfyUI

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We’re exploring a new "Simple Mode" It’s intended to make complex workflows easier to share and iterate on, with the focus on results rather than the underlying node graph, especially for users who find large graphs overwhelming. We’d love to hear your thoughts. How would you use this feature?

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ComfyUI

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7 steps and 2 clues created a woman who was bought a drink by a stranger. She doesn't exist. A stranger sat at a club bar last week. She picked out a man, started a conversation, bought him a round. He smiled back. The whole scene lived in a 6-second clip that pulled comments asking who she was. She was never there. No club, no drinks, no face that belongs to anyone. Here is the full build, 7 steps end to end. Open Pinterest, search “girl selfie,” save one image. Open Nano Banana Pro and swap the face with a single prompt. That photo now belongs to no one. Move the image into a node editor. Create 3 nodes: a reference image node, a text node, a video generator node. Drop the photo into the image node. Write 1 video prompt into the text node, the line that turns a still frame into motion. Connect text to text-in, image to image-in. Select Kling 2.6, set duration, switch sound on. Hit generate. 2 prompts. One face that exists nowhere. A 6-second clip people argued was real. The next person who buys you a drink at a bar might run on a text prompt.

7 steps and 2 clues created a woman who was bought a drink by a stranger. She doesn't exist. A stranger sat at a club bar last week. She picked out a man, started a conversation, bought him a round. He smiled back. The whole scene lived in a 6-second clip that pulled comments asking who she was. She was never there. No club, no drinks, no face that belongs to anyone. Here is the full build, 7 steps end to end. Open Pinterest, search “girl selfie,” save one image. Open Nano Banana Pro and swap the face with a single prompt. That photo now belongs to no one. Move the image into a node editor. Create 3 nodes: a reference image node, a text node, a video generator node. Drop the photo into the image node. Write 1 video prompt into the text node, the line that turns a still frame into motion. Connect text to text-in, image to image-in. Select Kling 2.6, set duration, switch sound on. Hit generate. 2 prompts. One face that exists nowhere. A 6-second clip people argued was real. The next person who buys you a drink at a bar might run on a text prompt.

RGK

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ComfyUI can now split a flat image into separate editable layers and hand you a PSD that opens straight in Photoshop. Thanks to Node 2.0. The new layer nodes come from Terry (jtydhr88) on our frontend team. A compositor editor is right in the graph, so you can arrange everything before you ever leave ComfyUI. How it works: - Run the Seedream 5.0 layer separation template in Comfy Cloud - Add multiple images into the layers - Arrange and composite them in the editor - Export every layer to a PSD and keep editing in Photoshop Built on nodes 2.0.

ComfyUI can now split a flat image into separate editable layers and hand you a PSD that opens straight in Photoshop. Thanks to Node 2.0. The new layer nodes come from Terry (jtydhr88) on our frontend team. A compositor editor is right in the graph, so you can arrange everything before you ever leave ComfyUI. How it works: - Run the Seedream 5.0 layer separation template in Comfy Cloud - Add multiple images into the layers - Arrange and composite them in the editor - Export every layer to a PSD and keep editing in Photoshop Built on nodes 2.0.

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Comfy API is live Point it at a workflow JSON and it handles the rest: → Resolves your custom nodes, models, LoRAs, and Python deps → Pins it all, ComfyUI version included, into a versioned Build → Cuts an immutable release, so what you test is what ships → Deploys as an autoscaling endpoint on RTX PRO 6000, H100, H200, or B200 Click the link below to deploy your first workflow and learn more with our blog ⬇️

Comfy API is live Point it at a workflow JSON and it handles the rest: → Resolves your custom nodes, models, LoRAs, and Python deps → Pins it all, ComfyUI version included, into a versioned Build → Cuts an immutable release, so what you test is what ships → Deploys as an autoscaling endpoint on RTX PRO 6000, H100, H200, or B200 Click the link below to deploy your first workflow and learn more with our blog ⬇️

ComfyUI

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ComfyUI for Animation: Keyframe Exploration Character reference → camera angle → finished keyframe. One graph, any shot. Step 1: load your character or character sheet into the input node. Step 2: drag the direction, elevation, and distance controls on the Multi-Angle Camera node. It writes the camera description automatically and passes it to GPT Image 2 as the prompt. Step 3 (optional): load a background to place your character in a scene, and describe a pose, expression, or action in the Additional Action node. Turn either off if you don't need it. Step 4: run it. GPT Image 2 combines all three inputs into the keyframe. Click the link below to run the workflow ⬇️

ComfyUI for Animation: Keyframe Exploration Character reference → camera angle → finished keyframe. One graph, any shot. Step 1: load your character or character sheet into the input node. Step 2: drag the direction, elevation, and distance controls on the Multi-Angle Camera node. It writes the camera description automatically and passes it to GPT Image 2 as the prompt. Step 3 (optional): load a background to place your character in a scene, and describe a pose, expression, or action in the Additional Action node. Turn either off if you don't need it. Step 4: run it. GPT Image 2 combines all three inputs into the keyframe. Click the link below to run the workflow ⬇️

ComfyUI

19,950 views • 1 month ago

Another round of Delights just dropped. → Unpack Nodes Select a node with many assets, and Unpack it to control each one individually. → Create Iterators Turn a node containing multiple assets into an iterator that processes each asset one by one. → Delete and maintain flow Shift + Delete to remove a node. The rest of the flow stays intact. What’s missing from your workflow? Tell us

Another round of Delights just dropped. → Unpack Nodes Select a node with many assets, and Unpack it to control each one individually. → Create Iterators Turn a node containing multiple assets into an iterator that processes each asset one by one. → Delete and maintain flow Shift + Delete to remove a node. The rest of the flow stays intact. What’s missing from your workflow? Tell us

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ComfyUI Desktop Tutorial: Multiple Installs, Snapshots & Shared Models Learn how to run multiple ComfyUI installations with Comfy Desktop: a stable production setup and a separate R&D sandbox for testing new models, custom nodes, and updates. When something breaks, snapshots let you roll back to a working setup in minutes. Comfy Desktop handles Python environments, dependencies, and updates for you. It also lets every instance share one models folder, so you don’t need to edit extra_model_paths.yaml. Start creating today: #ComfyUI #comfyuitutorial #comfydesktop #genai #AIAnimation

ComfyUI Desktop Tutorial: Multiple Installs, Snapshots & Shared Models Learn how to run multiple ComfyUI installations with Comfy Desktop: a stable production setup and a separate R&D sandbox for testing new models, custom nodes, and updates. When something breaks, snapshots let you roll back to a working setup in minutes. Comfy Desktop handles Python environments, dependencies, and updates for you. It also lets every instance share one models folder, so you don’t need to edit extra_model_paths.yaml. Start creating today: #ComfyUI #comfyuitutorial #comfydesktop #genai #AIAnimation

Comfy

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