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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.show more

ComfyUI

59,823 subscribers

15,034 görüntüleme • 1 ay önce •via X (Twitter)

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16 Yorum

ComfyUI profil fotoğrafı

ComfyUI1 ay önce

More tutorials coming soon!

Sanjeev profil fotoğrafı

Sanjeev1 ay önce

Really there are people like me who are very interested to learn even without any tutorials but with this it makes the process a lot easier and more audience to bar barge in and learn the workflow . Thanks for your effort team.

ComfyUI profil fotoğrafı

ComfyUI1 ay önce

Glad we can make the process easier. More tutorials will be coming soon.

🇺🇲 Julius Don Atlas 🇺🇲 profil fotoğrafı

🇺🇲 Julius Don Atlas 🇺🇲1 ay önce

I'll try

ComfyUI profil fotoğrafı

ComfyUI1 ay önce

More tutorials are on the way!

Stas profil fotoğrafı

Stas1 ay önce

ComfyU(nIversity)

ComfyUI profil fotoğrafı

ComfyUI1 ay önce

👀

Glenn profil fotoğrafı

Glenn1 ay önce

good video, that app thing is going to be very useful

ComfyUI profil fotoğrafı

ComfyUI1 ay önce

Many more videos coming!

Adel Bucetta profil fotoğrafı

Adel Bucetta1 ay önce

the honest answer is that most people don't even need to understand the node graph as long as someone built a solid backend for them to work with

Lars profil fotoğrafı

Lars1 ay önce

finally...

AI Mastery Guide profil fotoğrafı

AI Mastery Guide1 ay önce

No installs no missing models, sounds perfect honestly

Glenn profil fotoğrafı

Glenn1 ay önce

hmmm edX comfyUI would be great (edX has many university courses on it)

DeDi profil fotoğrafı

DeDi1 ay önce

节点图入门教程实用，降低工作流上手门槛

Chandra profil fotoğrafı

Chandra1 ay önce

@ComfyUI has probably the worst GUI I've ever seen, and this video just reinforces this opinion - when I tried to use their 'recommended' text to image generator, I just got a blank workspace with zero indication of how to proceed - ended up just uninstalling.

𝗙𝗶𝘀𝗵𝘅𝗙𝗜𝘆 profil fotoğrafı

𝗙𝗶𝘀𝗵𝘅𝗙𝗜𝘆1 ay önce

That's absolutely amazing!

Benzer Videolar

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

58,853 görüntüleme • 1 ay önce

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.

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

79,362 görüntüleme • 4 ay önce

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

81,440 görüntüleme • 3 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.

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

184,806 görüntüleme • 1 ay 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:

ComfyUI

195,169 görüntüleme • 6 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 👇

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 • 3 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

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

40,487 görüntüleme • 6 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.

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?

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

29,406 görüntüleme • 9 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.

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

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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

9,608,627 görüntüleme • 4 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!

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.

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 • 3 ay önce

ComfyUI Tutorial for Beginners: LoRAs, Style Transfer & ControlNets Module 3 is where you stop pulling the lever and start directing. Prompt iteration gets you close. These are the tools that get you exactly where you wanted to land. Style, structure, and pose, set before the sampler ever runs. What you'll learn: → How a LoRA attaches to a base model to change its output without retraining it → Why a LoRA has to match its base model family, and where to find them on Comfy Hub and Civitai → Model strength vs. CLIP strength — two dials, two different jobs → Stacking multiple LoRAs at different weights until the style is yours → Training your own: dataset, trigger word captions, step count, TrainLoRA locally → Reading the plot loss graph instead of guessing whether it worked → Appending to a LoRA you've already trained → Style transfer two ways: denoise-driven img2img vs. IP-Adapter reading style straight off a reference → ControlNets with DWPose, Depth Anything V2, and canny — composition locked before the prompt is read → Side by side: what each control map actually preserves → Fixing weak LoRAs, overcooked stacks, mismatched preprocessors, and noisy transfers Click the links below to run the workflow ⬇️

ComfyUI Tutorial for Beginners: LoRAs, Style Transfer & ControlNets Module 3 is where you stop pulling the lever and start directing. Prompt iteration gets you close. These are the tools that get you exactly where you wanted to land. Style, structure, and pose, set before the sampler ever runs. What you'll learn: → How a LoRA attaches to a base model to change its output without retraining it → Why a LoRA has to match its base model family, and where to find them on Comfy Hub and Civitai → Model strength vs. CLIP strength — two dials, two different jobs → Stacking multiple LoRAs at different weights until the style is yours → Training your own: dataset, trigger word captions, step count, TrainLoRA locally → Reading the plot loss graph instead of guessing whether it worked → Appending to a LoRA you've already trained → Style transfer two ways: denoise-driven img2img vs. IP-Adapter reading style straight off a reference → ControlNets with DWPose, Depth Anything V2, and canny — composition locked before the prompt is read → Side by side: what each control map actually preserves → Fixing weak LoRAs, overcooked stacks, mismatched preprocessors, and noisy transfers Click the links below to run the workflow ⬇️

ComfyUI

12,761 görüntüleme • 26 gün 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 ↓

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

24,260 görüntüleme • 6 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

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

12,119 görüntüleme • 6 ay önce

Trellis.2 and Pixal3D are now native in ComfyUI core No custom nodes. No CUDA extensions. No PyTorch downgrade. No non-commercial license traps. Plus a rebuilt 3D pipeline: Load/Preview/Save 3D nodes, mesh post-processing, and PBR texturing that bakes normals + AO for a full material set. Runs on consumer hardware. Free to use commercially. Click the link below to run the workflow and learn more ⬇️

Trellis.2 and Pixal3D are now native in ComfyUI core No custom nodes. No CUDA extensions. No PyTorch downgrade. No non-commercial license traps. Plus a rebuilt 3D pipeline: Load/Preview/Save 3D nodes, mesh post-processing, and PBR texturing that bakes normals + AO for a full material set. Runs on consumer hardware. Free to use commercially. Click the link below to run the workflow and learn more ⬇️

ComfyUI

38,876 görüntüleme • 1 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

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 • 8 ay önce

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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

379,977 görüntüleme • 6 ay önce