CIVITAI / Workflows

IC Edit HD Video Restoration & Enhancement Workflow

This workflow is designed for IC Edit-style high-definition video restoration and enhancement, built on an LTX 2.3 video upscale / repair pipeline. Its main purpose is to take an existing low-quality or compressed video, preserve the original composition and motion, and rebuild the final output with cleaner details, reduced artifacts, better texture, and a more stable high-definition look. Unlike a simple video upscaler or sharpening filter, this workflow is closer to a generative restoration pipeline. It does not only enlarge the frame or add artificial sharpness. Instead, it uses LTX 2.3, IC LoRA video upscale models, video frame extraction, prompt-guided enhancement, latent reconstruction, tiled VAE decoding, and final video recombination to improve the clip while keeping the original structure intact. This makes it useful when the goal is not to create a new video from scratch, but to repair and polish an existing result. The workflow uses ltx-2.3-22b-dev-dare-ties-distilled-1.1 as the core model route, with LTXVAudioVAELoader, CheckpointLoaderSimple, LTXAVTextEncoderLoader, LTXVConditioning, LTXAddVideoICLoRAGuide, LTXVImgToVideoConditionOnly, VAEEncodeForInpaint, SamplerCustomAdvanced, VAEDecodeTiled, VHS_LoadVideo, and VHS_VideoCombine. It also loads IC LoRA upscale models such as ltx2.3-ic-video-upscale-general and ltx2.3-video-upscale-v2, which shows that the workflow is specifically tuned for video quality restoration rather than normal image-to-video generation. A key part of this workflow is the positive enhancement prompt. The workflow asks the model to enhance the input video to clean high-definition quality, remove compression artifacts, noise, blur, jagged edges, color blocks, motion smearing, local dirt, and frame flickering, while reconstructing clearer facial details, skin texture, hair strands, clothing fabric, and background structure. At the same time, it explicitly preserves the original composition, character identity, motion rhythm, camera movement, lighting atmosphere, and color style. This is the correct direction for repair work: improve quality, but do not rewrite the video. The negative prompt is also practical. It suppresses blur, oversaturation, pixelation, low resolution, grain, distortion, noise, compression artifacts, JPEG artifacts, glitches, watermark, text, logo, signature, copyright marks, subtitles, distorted sound