WAN, HunyuanVideo and the speed tricks that make local video generation practical.
Run HunyuanVideo img2vid with the Leapfusion LoRA, compare against LTX-Video, and tune denoise and attention for stable frames.
Which local video models actually run on consumer GPUs? Mochi, LTX-Video, CogVideoX, and Wan2.1 compared for RTX 4090+ hardware.
Prepare source clips, suppress frame flicker, and assemble the ControlNet stack for readable motion in AnimateDiff video-to-video gene…
Learn the correct pipeline order for upscaling, interpolating, and finishing AI-generated video without flicker or artifacts.
Dataset prep, captioning, and diffusion-pipe settings for HunyuanVideo character LoRA training with VRAM requirements.
Pick the right HunyuanVideo model file for your GPU, configure ComfyUI, and train a video LoRA.
Compare five acceleration techniques for ComfyUI video workflows — benchmarks, trade-offs, and install steps for each method.
Choose the right WAN workflow for your clip — native T2V/I2V graphs, CausVid, and VACE editing. Model files and VRAM needs included.
Master GGUF quantization, block swapping, and SageAttention for WAN 2.2 on 8-12 GB GPUs. Complete workflow for 50-series cards.
Fix CUDA OOM with PYTORCH_CUDA_ALLOC_CONF, optimize FLUX training with blocks_to_swap, and run Wan2.1 and HunyuanVideo on 12 GB GPUs.
Sequential ComfyUI chain: high-noise KSampler feeds low-noise KSampler. Correct LoraLoaderModelOnly setup and training guide.
Training LoRAsModels of 2026ComfyUIPrompting and controlFixing things