LTX-2.3 vs Wan 2.2 в ComfyUI: локальная генерация видео против Vidu Q3 и Seedance 2.0

Is it possible to create high-quality AI video locally on your computer without paying for each render? In this video, I compare LTX-2.3 and Wan 2.2 in ComfyUI with paid AI video services Vidu Q2, Vidu Q3, Seedance 2.0, and TopView. I'm testing several basic video generation scenarios: text-to-video — video generation based solely on a text prompt image-to-video — animation from a finished image first frame + last frame — video generation between the first and last frames camera movement around a character hair quality, detail, motion, image stability, and transitions generation speed and usability of a local workflow For the test, I'm using the same character—a photorealistic anime knight in a castle—but I'm adapting the prompts individually for each model. This is important because LTX-2.3, Wan 2.2, and commercial models handle text, camera movement, and first and last frames differently. In the video, I show real-world results, including issues with artifacts, mesh, hair, mid-scene detail changes, camera jumps, and instability during frame transitions. I also compare rendering speed on an RTX 3090 with 24 GB of VRAM and explain why local generation can be more convenient, even if commercial services sometimes produce cleaner results. Let me know in the comments which AI video models you use: LTX, WAN, Vidu, Seedance, Kling, Veo, or others. I'd be especially interested to hear how WAN 2.2 performs on graphics cards with 8 GB of VRAM. Chapters 00:00 LTX-2.3 and Wan 2.2: What's the Comparison 01:03 Local Generation vs. Paid AI Video Services 01:10 Video Workflow in ComfyUI 01:35 Where to Find LTX and Wan Templates 01:50 How to Download Missing Models 02:15 Wan 2.2: Text-to-Video 02:49 Why the First Frame Improves the Result 03:04 Wan 2.2: Text-to-Video Quality 03:18 Wan 2.2 Generation Speed 03:26 Wan 2.2: Image-to-Video 04:20 Artifacts, Mesh, and Hair Issues 05:14 Wan 2.2: First and Last Frames 05:51 Why Quality Degrades Halfway Through a Video 06:23 LTX-2.3: Speed ​​and Quality 06:48 LTX-2.3: Image-to-Video 07:26 HD Resolution and Image-to-Video Animation 08:03 LTX-2.3: Animation Between the First and Last Frames 08:32 Rotating the Camera Around the Character 08:52 Why LTX-2.3 Looks Better 09:12 Vidu Q2 and Vidu Q3 09:44 Vidu Q3: Text-to-Video 10:33 Vidu Q2 vs. Vidu Q3 10:45 Vidu: First and Last Frames 11:25 Seedance 2.0 in TopView 11:52 Seedance 2.0: Transition Between Frames 12:31 TopView Model: Quality and Camera Jumps 13:08 Which Video Length Works Best 13:25 Summary and Your Comments Hashtags #ComfyUI #LTX23 #Wan22 #AIVideo #VideoGeneration #AIVideo #Vidu #ViduQ3 #Seedance20 #TopView #ImageToVideo #TextToVideo #StableDiffusion #RTX3090 #LocalAI Join us on Telegram: Chat: https://t.me/+1W-BfcGvDfQzNzAx News: @geekatplayru ⚠️ AFFILIATE DISCLOSURE: We may earn a commission from purchases made through the links below at no extra cost to you. Recommended services: Best quality outfits: https://community.kuhl.com/s/vladimri.c NordVPN: https://go.nordvpn.net/aff_c?offer_id... Assets: https://1.envato.market/c/1719625/298... https://www.amazon.com/shop/vladimirc... Topaz AI Video and Photo processing: https://topazlabs.com/ref/1514/ My store: https://geekatplay.gumroad.com/ Patreon:   / geekatplay   https://www.geekatplay.com