#Video

AIComfy API is now available to all users on a paid Comfy plan, letting them package a ComfyUI workflow with its custom nodes, LoRAs, models, and Python dependencies and deploy it as an autoscaling API endpoint. Builds capture the ComfyUI version and dependencies, and each immutable release gets its own URL, so the tested environment is the deployed one. Usage is billed separately, with GPU time charged by the second and storage prorated hourly.

Why it matters: The post explains how a ComfyUI workflow is packaged into immutable releases and deployed as an autoscaling endpoint, showing a path from local graph to production service.

AIMeetTwins, a beta app from Indian developer Aditya Shinde, is an AI assistant that attends Google Meet calls on its operator's behalf and relays only pre-approved information to colleagues. It uses AI models from Sarvam and can add a digital twin avatar created by Simli. If a participant types "/stop" in the chat, the bot leaves immediately, and anything outside the brief is referred to the operator by email.

AIKling AI posted a short teaser of Kling 4.0 Flash, with a quoted post from @umesh_ai saying early access testing showed strong prompt understanding. The main post contains no details beyond the lightning emoji, so no specifications, pricing, or release date can be confirmed.

AIKling AI showcased a short film generated by the full-powered KLING 4.0, which the source describes as the full-powered version. The background post from @hq4ai says the film was made with all-round reference generation, runs a native 30 seconds in 21:9 cinematic format, and offers clearer visuals and sound with more precise lip-sync than Flash. The same post states Kling 4.0 will launch in October.

AIKling 4.0 extends native single-pass video generation from 15 to 30 seconds and adds Multiple Keyframes supporting up to 10 keyframe images, versus Start & End Frames in Kling 3.0. It also expands reference inputs to up to 15 combined assets, including up to 5 videos totaling 30 seconds, and adds 10-bit HDR at 1080p and 4K. The all-new Kling 4.0 will officially launch in October, and Kling 4.0 Flash became available to a limited group of early-access users on September 28.

AIKling AI says Kling 4.0 will support native video generation from 3 to 30 seconds, with up to 10 keyframes for timing control. The full model is scheduled for October 2026, with early access to the new creation page rolling out from September 28.

AIKling 4.0 is entering early access, with a wider rollout planned for October, and Kling 4.0 Flash opens to Ultra Yearly subscribers on September 28. The update generates videos up to 30 seconds in a single pass, accepts up to 15 reference assets, and supports up to 10 keyframe images. Upcoming features include 10-bit HDR output at 4K and 1080p and video extension up to 2 minutes.

Why it matters: The post specifies concrete capability limits such as 30-second native generation, up to 15 references, and 10 keyframes, which help users judge fit for production workflows.

AIGoogle Developers Blog describes how Sparse VideoGen (SVG) routes video diffusion attention heads into spatial or temporal sparse masks and implements them as custom JAX and Pallas Splash Attention kernels on TPU v6e. In isolated single-chip tests with 75.6K tokens and 10 heads, the sparse variants retain about 38.87% of query-key pairs. The article argues that theoretical sparsity must be converted into hardware tile skipping to yield real speedups.

AIKrea, an AI creative platform, has published a dedicated video page at The post provides only this link, so no features, models, pricing, or capabilities are confirmed.

AIReplicate has added P-Video-2-Pro, the latest video model from Pruna AI, which sits on the edge of the preference-speed and preference-price Pareto frontiers. Design Arena ranks its Quality and Speed variants tied for #2 on the Image to Video leaderboard with an Elo of 1325, with the Quality version generating in 8.0 seconds and the Speed version in 4.5 seconds.

AIReplicate's X account shared only an eye emoji, with no details about the announcement. A quoted post from Kling AI says "CLING ON! We've got news," indicating an upcoming Kling announcement without specifying its nature.

AIBona Film Group announced that Sanxingdui: Future Past, a 100-minute film using AI throughout production, will screen nationwide on October 23, 2026. The production team says AI handled tasks like image generation while over 100 professionals kept creative control, and it took two years and over 1.2 million source images to maintain consistency across the film.

AIManus 2.0 introduces a new agent harness called Cascade, Manus Studio with Video Editor and Game Dev environments, and a standalone Cue app for personal agents. In one tested configuration, Cascade used 23.2% fewer tokens, completed tasks 28.2% faster, and cost 32% less to run than the previous system. Cue is in early access and available with an invite code.

Why it matters: The post separates the new agent harness, Studio, and Cue, and its Cascade chart gives measured token, time, and cost comparisons against the previous system.

AIHailuo AI promoted a weekend cartoon post, and a quoted clip by @awesome_visuals, titled "the chef's revenge," was made with MiniMax H3 Max. The post offers no further details on the model's features or performance.

AIGoogle's Jeff Dean says he is proud to have worked with many others on quite a few projects. The post is a brief reflection and names no specific products or figures.

AIHiggsfield AI announced Seedance 2.5 at 1080p resolution on its API, offering 100% cashback for users. The post links to the Higgsfield API explore page for access details.

AIUsing the Neuron Kernel Interface, Reactor and Amazon's Neuron Science team built a kernel-centric path to real-time autoregressive diffusion video generation on Trainium. They addressed dynamic shapes, memory access patterns, and cache management, which are hard for generic compilers, and developed techniques intended to generalize across models.

AIAmazon Neuron Science and Reactor collaborated to optimize Rolling Forcing, an autoregressive diffusion video model, for real-time generation on AWS Trainium. The model generates 16 frames per second, the standard video playback rate, meeting latency requirements for streaming video generation.