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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...

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ComfyUI

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14,164 görüntüleme • 7 gün önce •via X (Twitter)

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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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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.

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.
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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.

ComfyUI

80,769 görüntüleme • 2 ay önce

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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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.

ComfyUI

156,331 görüntüleme • 2 gün önce

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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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:

ComfyUI

192,228 görüntüleme • 5 ay önce

ComfyUI 0.3.63 now supports Subgraph Publishing! Select any subgraphs, publish with one click. Re-use, re-edit, like a single node. Find your subgraphs in the Node Library. Update ComfyUI and try it now👇
0:51

ComfyUI 0.3.63 now supports Subgraph Publishing! Select any subgraphs, publish with one click. Re-use, re-edit, like a single node. Find your subgraphs in the Node Library. Update ComfyUI and try it now👇

ComfyUI

12,641 görüntüleme • 10 ay önce

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 👇
3:01

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 👇

ComfyUI

26,631 görüntüleme • 2 ay önce

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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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

rob - comfyui

35,901 görüntüleme • 5 ay önce

We just launched Comfy MCP in public beta, the first MCP built for production pipelines. Connect Claude, Codex, Cursor, or Hermes to the entire ComfyUI ecosystem. → Run any workflow in natural language → Search models, nodes, and templates → Share a workflow URL - your agent picks it up → Re-run saved workflows on new inputs without touching a single node → Hundreds of pre-built workflows. Always auto-updated 20 product-placement images for your brand ads. Character design for your game art. Script-to-shot ideation at scale and so on! Your agent is now a creative technologist.
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We just launched Comfy MCP in public beta, the first MCP built for production pipelines. Connect Claude, Codex, Cursor, or Hermes to the entire ComfyUI ecosystem. → Run any workflow in natural language → Search models, nodes, and templates → Share a workflow URL - your agent picks it up → Re-run saved workflows on new inputs without touching a single node → Hundreds of pre-built workflows. Always auto-updated 20 product-placement images for your brand ads. Character design for your game art. Script-to-shot ideation at scale and so on! Your agent is now a creative technologist.

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?
1:04

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?

ComfyUI

29,315 görüntüleme • 8 ay önce

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.
3:01

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.

ComfyUI

95,385 görüntüleme • 24 gün önce

Smart AI assistant for your ComfyUI workflow! Introducing ComfyUI-Copilot V2 - a powerful custom node by Pixelle AI that allows you to talk to your workflows! 🔹 Create and edit custom workflows from your descriptions 🔹 Smart debugging: detect and fix workflow errors 🔹 Custom node and model recommendation + explanation 🔹 Enhanced AI agent: provide advice based on your local ComfyUI setup Perfect for users who want to automate their workflow creation and management!
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Smart AI assistant for your ComfyUI workflow! Introducing ComfyUI-Copilot V2 - a powerful custom node by Pixelle AI that allows you to talk to your workflows! 🔹 Create and edit custom workflows from your descriptions 🔹 Smart debugging: detect and fix workflow errors 🔹 Custom node and model recommendation + explanation 🔹 Enhanced AI agent: provide advice based on your local ComfyUI setup Perfect for users who want to automate their workflow creation and management!

ComfyUI

26,259 görüntüleme • 1 yıl önce

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.
0:45

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

16,209 görüntüleme • 2 ay önce

This viral “inflation effect” by Ingi Erlingsson 🪄 gained significant traction across feeds. Here’s how to recreate it in ComfyUI using a streamlined node-based workflow. Click the link below for the full workflow ↓
0:43

This viral “inflation effect” by Ingi Erlingsson 🪄 gained significant traction across feeds. Here’s how to recreate it in ComfyUI using a streamlined node-based workflow. Click the link below for the full workflow ↓

ComfyUI

24,218 görüntüleme • 4 ay önce

Gave UEFN its own blueprint graph. Python tool running inside the editor. Scans your level and parses your Verse code to draw a full visual map of your game logic. What it shows you: - Every device in your level as a node - Every @ editable reference between devices - Every event subscription and function call - Which Verse functions are actually being used vs sitting there doing nothing What it catches: - Broken connections where an @ editable points to nothing - Orphan devices with zero connections - Unassigned editables you forgot to wire up What you can do with it: - Click a node, and it selects the device in your viewport - Double-click to fly straight to it - Open the Verse file in VS Code with one button - Search and filter by device type - Zoom in and out - Add notes to any device - Export the whole graph as a doc
0:32

Gave UEFN its own blueprint graph. Python tool running inside the editor. Scans your level and parses your Verse code to draw a full visual map of your game logic. What it shows you: - Every device in your level as a node - Every @ editable reference between devices - Every event subscription and function call - Which Verse functions are actually being used vs sitting there doing nothing What it catches: - Broken connections where an @ editable points to nothing - Orphan devices with zero connections - Unassigned editables you forgot to wire up What you can do with it: - Click a node, and it selects the device in your viewport - Double-click to fly straight to it - Open the Verse file in VS Code with one button - Search and filter by device type - Zoom in and out - Add notes to any device - Export the whole graph as a doc

Immature

12,088 görüntüleme • 5 ay önce

The Houdini-ComfyUI Bridge plugin is open-sourced 🎉 This community project by Rafael Drelich and Anatolii Iudanov helps bring ComfyUI’s generative AI abilities directly into Houdini’s node graph: - Load comfyUI nodes directly into COPs - Import/export from ComfyUI with ease: images, meshes, audio, etc. - TOPs submitter allows users to develop custom pipelines that combine CG with diffusion and generative AI
0:48

The Houdini-ComfyUI Bridge plugin is open-sourced 🎉 This community project by Rafael Drelich and Anatolii Iudanov helps bring ComfyUI’s generative AI abilities directly into Houdini’s node graph: - Load comfyUI nodes directly into COPs - Import/export from ComfyUI with ease: images, meshes, audio, etc. - TOPs submitter allows users to develop custom pipelines that combine CG with diffusion and generative AI

ComfyUI

21,423 görüntüleme • 7 ay önce

🌩️ Comfy Cloud is now in Public Beta! No more waitlist. Zero setup. Create anything, anywhere. Fast GPUs. Latest models. Ready-to-go workflows. We’re here to make Comfy finally comfy. Full control, now effortless! See you in the Cloud
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🌩️ Comfy Cloud is now in Public Beta! No more waitlist. Zero setup. Create anything, anywhere. Fast GPUs. Latest models. Ready-to-go workflows. We’re here to make Comfy finally comfy. Full control, now effortless! See you in the Cloud

ComfyUI

530,030 görüntüleme • 9 ay önce

OptimAI Core Node v2 is live. And with it, the introduction of OptimAI Claw. From nodes as infrastructure → to nodes as execution environments. With Core Node v2, every device becomes a runtime for native personal agents. 👉 Get your node up and running. No complex setup. No fragmented tooling. Just a few clicks... and your agent is live. OptimAI Claw brings persistent, node-resident agents directly into your system: • Multi-source research across web & social • Real-time summarization and signal tracking • Autonomous workflow execution • Continuous learning through reinforcement All running locally. All under your control. Supported on Windows & macOS. This is beyond prompt-based AI. Beyond isolated tools. This is personal agent infrastructure. Where every node thinks, acts, and evolves. Claw is now part of the network. And this is only the beginning. Happy Building, Making Impact! 🔥
1:22

OptimAI Core Node v2 is live. And with it, the introduction of OptimAI Claw. From nodes as infrastructure → to nodes as execution environments. With Core Node v2, every device becomes a runtime for native personal agents. 👉 Get your node up and running. No complex setup. No fragmented tooling. Just a few clicks... and your agent is live. OptimAI Claw brings persistent, node-resident agents directly into your system: • Multi-source research across web & social • Real-time summarization and signal tracking • Autonomous workflow execution • Continuous learning through reinforcement All running locally. All under your control. Supported on Windows & macOS. This is beyond prompt-based AI. Beyond isolated tools. This is personal agent infrastructure. Where every node thinks, acts, and evolves. Claw is now part of the network. And this is only the beginning. Happy Building, Making Impact! 🔥

OptimAI Network

353,617 görüntüleme • 4 ay önce

Exciting update for ComfyUI users on Intel hardware! - The new OpenVINO custom node is now available for ComfyUI - Unlock faster AI inference on Intel CPUs, GPUs, and NPUs - No hardware upgrade needed, just install the ComfyUI-OpenVINO node Enjoy smoother, more efficient workflows with Intel acceleration 🧵 ↓
0:57

Exciting update for ComfyUI users on Intel hardware! - The new OpenVINO custom node is now available for ComfyUI - Unlock faster AI inference on Intel CPUs, GPUs, and NPUs - No hardware upgrade needed, just install the ComfyUI-OpenVINO node Enjoy smoother, more efficient workflows with Intel acceleration 🧵 ↓

ComfyUI

10,378 görüntüleme • 1 yıl önce

📢Subgraphs are coming! -Turn complex workflows into reusable nodes Edit once, update everywhere in the same workflow Widgets, nesting and more! ✨ Beta drops next week 🥳Get ready to simplify your canvas. 🔗 More in detail:
0:39

📢Subgraphs are coming! -Turn complex workflows into reusable nodes Edit once, update everywhere in the same workflow Widgets, nesting and more! ✨ Beta drops next week 🥳Get ready to simplify your canvas. 🔗 More in detail:

ComfyUI

25,221 görüntüleme • 1 yıl önce

Graph Convolutional Network by hand ✍️ ~ 12 steps walkthrough below Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, are the tool for data shaped like a graph: social networks, recommendations, biological networks, drug discovery, molecular chemistry. I drew and calculated a simple GCN entirely by hand. Goal: run a two-layer GCN, then a small classifier, on a five-node graph, filling in every cell yourself. 1. Given A graph of five nodes, A to E, with edges between some of them. 2. Adjacency matrix (neighbors) Put a 1 wherever two nodes share an edge, in both directions. 3. Adjacency matrix (self) Add 1s down the diagonal, one self-loop per node. That is just adding the identity matrix. 4. Messages Multiply each node's embedding by the weights and biases, then ReLU. Negatives become 0. 5. Pooling Multiply the messages by the adjacency matrix. Each node gathers the messages of its neighbours and itself. 6. Visualize Node A pools [3,0,1] + [1,0,0] = [4,0,1]. 7. Second GCN layer Messages again: weights, biases, ReLU. 8. Pooling again Pool over each node and its neighbours, once more. 9. Visualize Node C pools [1,2,4] + [1,3,5] + [0,0,1] = [2,5,10]. 10. Fully connected layer Weights, biases, ReLU. This time there are no neighbours to pool, just the node itself. 11. Linear layer One more: weights and biases. 12. Sigmoid Squash each score to a probability (≥ 3 → 1, 0 → 0.5, ≤ -3 → 0). That is the classification for each node. You have just classified every node in the graph by hand. ✍️ The outputs: A: 0 (very unlikely) B: 1 (very likely) C: 1 (very likely) D: 1 (very likely) E: 0.5 (neutral) The takeaway: a GCN layer is two parts. The top part pools each node with its neighbours through the adjacency matrix. The bottom part is an MLP that transforms each node on its own. A transformer layer has the same two parts, with an attention matrix where the adjacency matrix was. Both matrices do one job, mixing across positions: attention over tokens, adjacency over nodes. In my class I call the GCN the transformer's little cousin: a bit more stubborn, because its attention is fixed by the graph rather than computed from Q, K, and V. Draw the two side by side and the resemblance is hard to miss. 💾 Save this post! #AIbyHand #GraphNeuralNetworks #DeepLearning
0:23

Graph Convolutional Network by hand ✍️ ~ 12 steps walkthrough below Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, are the tool for data shaped like a graph: social networks, recommendations, biological networks, drug discovery, molecular chemistry. I drew and calculated a simple GCN entirely by hand. Goal: run a two-layer GCN, then a small classifier, on a five-node graph, filling in every cell yourself. 1. Given A graph of five nodes, A to E, with edges between some of them. 2. Adjacency matrix (neighbors) Put a 1 wherever two nodes share an edge, in both directions. 3. Adjacency matrix (self) Add 1s down the diagonal, one self-loop per node. That is just adding the identity matrix. 4. Messages Multiply each node's embedding by the weights and biases, then ReLU. Negatives become 0. 5. Pooling Multiply the messages by the adjacency matrix. Each node gathers the messages of its neighbours and itself. 6. Visualize Node A pools [3,0,1] + [1,0,0] = [4,0,1]. 7. Second GCN layer Messages again: weights, biases, ReLU. 8. Pooling again Pool over each node and its neighbours, once more. 9. Visualize Node C pools [1,2,4] + [1,3,5] + [0,0,1] = [2,5,10]. 10. Fully connected layer Weights, biases, ReLU. This time there are no neighbours to pool, just the node itself. 11. Linear layer One more: weights and biases. 12. Sigmoid Squash each score to a probability (≥ 3 → 1, 0 → 0.5, ≤ -3 → 0). That is the classification for each node. You have just classified every node in the graph by hand. ✍️ The outputs: A: 0 (very unlikely) B: 1 (very likely) C: 1 (very likely) D: 1 (very likely) E: 0.5 (neutral) The takeaway: a GCN layer is two parts. The top part pools each node with its neighbours through the adjacency matrix. The bottom part is an MLP that transforms each node on its own. A transformer layer has the same two parts, with an attention matrix where the adjacency matrix was. Both matrices do one job, mixing across positions: attention over tokens, adjacency over nodes. In my class I call the GCN the transformer's little cousin: a bit more stubborn, because its attention is fixed by the graph rather than computed from Q, K, and V. Draw the two side by side and the resemblance is hard to miss. 💾 Save this post! #AIbyHand #GraphNeuralNetworks #DeepLearning

Tom Yeh

16,800 görüntüleme • 1 ay önce