Generate high-quality, 20-second AI videos using LTX 23 IMG2VID even if you have a low-end GPU! In this step-by-step LTX 23 tutorial, you will learn the exact workflow to balance acceptable generation times with optimal visual output without crashing your system. We will resize our reference image to exactly 512x512 pixels for the initial generation phase, keeping the computational load extremely low. Then, we use a 2x upscaling model to double the final video resolution, giving you a crisp, professional result.
⚡ Key Takeaways From This Video:
- Downsize to Upscale: Why 512x512 is the sweet spot for low VRAM IMG2VID.
- Time Efficiency: How to get a full 20-second clip without waiting hours.
- Post-Processing: Using 2x upscale models to recover sharp details.
The following checkpoints, VAEs (Variational Autoencoders), and CLIP models were utilized in this workflow:
Unet (GGUF): https://huggingface.co/unsloth/LTX-2.3-GGUF/blob/main/ltx-2.3-22b-dev-Q4_K_M.gguf
Video VAE: https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/LTX23_video_vae_bf16.safetensors
Audio VAE: https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/LTX23_audio_vae_bf16.safetensors
Dual CLIP:
Latent Upscale Model: https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors
Real-ESRGAN x2 (Upscaling model): https://huggingface.co/ai-forever/Real-ESRGAN/blob/main/RealESRGAN_x2.pth