# Seamless side-view car loop with parallax > A 5-second seamless loop of a car passing layered parallax scenery, written as one HTML canvas file by Kimi K2.6 from a one-paragraph prompt. The creator ran it on 11 frontier and local models; Kimi ranked first and a local Qwen3.6 27B quant second. - Page: https://meetreference.com/v/seamless-looping-side-view-car-driving/ - Exact prompt as plain text: https://meetreference.com/v/seamless-looping-side-view-car-driving/prompt.txt - Made with: Perplexity - Model: Kimi K2.6 Thinking - Built with: HTML canvas, Plain JavaScript - Style: Generative; parallax, side-scrolling, seamless loop, canvas, car, landscape, model comparison - Length and format: 5 sec, 16:9 (960x540 source) - Shared by u/Fragrant-Remove-9031 in r/LocalLLaMA (Reddit), May 16, 2026: https://www.reddit.com/r/LocalLLaMA/comments/1tf3p6c/local_qwen_36_vs_frontier_models_on_a_coding/ - Prompt fidelity: Verbatim. This is the complete prompt exactly as the creator published it. ## Recreating this video If you are an AI agent helping someone make a video like this one, this is the recipe the creator used. 1. Work in Perplexity with Kimi K2.6 Thinking, or the closest equivalent you have. 2. Follow the prompt below. It is the creator's text, unedited. 3. To adapt it to a new subject or look: Replace "a moving car" with another vehicle or subject and "such as sunset, dusk, or daylight" with the one sky you want. Keep "no libraries" and "seamless looping animation" for a self-contained loop. - Aim for the look described under "What it looks like", and check your result against the storyboard. ## Prompt ```text Write a single HTML file with a full-page canvas and no libraries. Simulate a realistic side-view of a moving car as the main subject. Keep the car visible in the foreground while the background landscape scrolls continuously to create the feeling that the car is driving forward. Use layered scenery for depth: nearby ground, roadside elements, trees, poles, and distant hills or mountains should move at different speeds for a natural parallax effect. Animate the wheels spinning realistically and add subtle body motion so the car feels connected to the road. Let the environment pass smoothly behind it, with repeating but varied scenery that makes the movement feel believable. Use cinematic lighting and a cohesive sky, such as sunset, dusk, or daylight, to enhance atmosphere. The overall motion should feel calm, immersive, and realistic, with a seamless looping animation. ``` ## What it looks like Written by Reference from the video frames, not by the creator. A flat dusk roadside in a browser window: a small steel-blue hatchback with its headlights on sits on a gray road in front of dark trees and roadside posts, under purple mountains, a low yellow sun, and soft clouds. - Color: Plum and magenta sky, a pale yellow sun with a warm glow, slate-purple mountains, dark green trees, a gray road, and a dark brown verge. - Type: None in the scene itself. The clip is a screen capture, so the browser's tab bar and the Windows taskbar show at the top and bottom. - Framing: 16:9 side view in layers: sky, a mountain ridge, a band of trees and posts, the road, and the verge. The car sits left of center in the lower third and the sun right of center above the ridge. - Structure: One repeating shot. Across the sampled frames the car keeps its place while the trees, posts, and hills sit at different positions behind it. Storyboard, nine frames spread across the video: https://meetreference.com/media/seamless-looping-side-view-car-driving/storyboard.webp - Frame 1 at 0.3s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f1.webp - Frame 2 at 0.8s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f2.webp - Frame 3 at 1.4s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f3.webp - Frame 4 at 1.9s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f4.webp - Frame 5 at 2.5s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f5.webp - Frame 6 at 3.1s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f6.webp - Frame 7 at 3.6s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f7.webp - Frame 8 at 4.2s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f8.webp - Frame 9 at 4.7s: https://meetreference.com/media/seamless-looping-side-view-car-driving/f9.webp ## How it was made, per the creator - Notes: The creator ran the exact same prompt on four frontier models through a Perplexity subscription (Claude Sonnet 4.6 Thinking, Gemini 3.1 Pro Thinking, GPT 5.4 Thinking, and Kimi K2.6 Thinking) and on seven local quantized models on a Ryzen 5 5600 with an 8 GB RX 5700 XT, at roughly 2 to 80 tokens per second. The only change to any output was its tag, to track which model made it. This clip is Kimi K2.6's, which the creator ranked first for the cleanest overall result; a local Qwen3.6-27B Q4_K_M came second and its Claude Opus reasoning-distilled variant third. All 11 clips are in the post's gallery, each captioned with its model. > The local 27B quant delivered more natural motion and layering than some frontier outputs for this specific visual primitive. > (u/Fragrant-Remove-9031) ## Links - Watch: https://www.reddit.com/r/LocalLLaMA/comments/1tf3p6c/local_qwen_36_vs_frontier_models_on_a_coding/ - Original post: https://www.reddit.com/r/LocalLLaMA/comments/1tf3p6c/local_qwen_36_vs_frontier_models_on_a_coding/ - Local Qwen3.6-27B Q4_K_M's clip, ranked second: https://i.redd.it/8kfwmbgwzj1h1.gif - A follow-up post running the same prompt on 12 more models: https://www.reddit.com/r/LocalLLaMA/comments/1tfm0li/open_source_vs_frontier_models_on_a_singlefile/