ComfyUI ControlNets Explained | Image to Image Workflow (Hindi) | Lecture 8 – Quanta Vision
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YouTubeQuanta AI Labs
ComfyUI ControlNets Explained | Image to Image Workflow (Hindi) | Lecture 8 – Quanta Vision
In this lecture, we deep dive into ComfyUI ControlNets and learn how to use Image-to-Image workflows step by step in Hindi. You’ll understand how ControlNets help you control pose, depth, edges, and structure while generating AI images, instead of relying purely on prompts. 🔥 What you’ll learn in this video: What is ControlNet in ComfyUI ...
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How to turn your videos into another world with Mago? 👇 Step 1 : Import your video in Mago Step 2 : Create your stylized image (img2img workflow) Step 3 : Write your prompt to use Flux Kontext inside Mago Step 4 : Use your stylized frame as your style reference Step 5 : Use Auto Prompt to prompt your video Step 6 : Go to Advanced settings Step 7 : Enable Dynamic reference (if the first frame and last frame of your video are very different) Step 8 : Choose your ControlNets (here = depth) Step 9
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How to turn your videos into another world with Mago? 👇 Step 1 : Import your video in Mago Step 2 : Create your stylized image (img2img workflow) Step 3 : Write your prompt to use Flux Kontext inside Mago Step 4 : Use your stylized frame as your style reference Step 5 : Use Auto Prompt to prompt your video Step 6 : Go to Advanced settings Step 7 : Enable Dynamic reference (if the first frame and last frame of your video are very different) Step 8 : Choose your ControlNets (here = depth) Step 9
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