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Seedance 2.5 introduces 30-second video generation, multimodal references, multilingual creation, and targeted editing, with API access coming soon on BytePlus for developers and enterprises.
Topview has launched an annual plan that bundles the two latest AI video models, Seedance 2.5 and Wan 3.0, into unlimited usage. Seedance 2.5 is priced as low as $0.12/sec, claiming to be the lowest on the web, making it ideal for users who generate large volumes of video content.
Seedance 2.5 is now integrated into Arcads, enabling users to move from research to finished video with unlimited access for a limited time.
Wan-Animate-2 is a new end-to-end character animation framework that consumes driving videos directly in a redesigned Diffusion Transformer, achieving high-fidelity motion generation and identity preservation. It also introduces a lightweight variant for real-time streaming animation, with open-source weights released.
ByteDance is training a massive AI model, aiming to rival Anthropic, with an independent development approach led by its Seed team under former Google DeepMind scientist Wu Yonghui, while its Doubao model leads China with 324 million MAU.
A Hugging Face repository hosting MiniMax-H3 models converted for ComfyUI usage, along with a Lightx2v distill LoRA for faster inference.
A user shares a head-to-head comparison of Seedance 2.5 versus Seedance 2.0 across four cinematic genres, noting significant differences in output quality.
Hugging Face page for the Minimax-h3-Turbo video generation model, with instructions for using it via Diffusers and Colab/Kaggle notebooks.
Seedance 2.5 launches on Lovart, offering native 30-second 4K video output and up to 50 reference assets for improved consistency, which could be a significant step for AI video generation.
Seedance 2.5 launched, enabling 30-second single-pass video generation, audio-reference lip-sync, and API features like async jobs and webhooks. Its standout is billing for failed generations isn't charged and reference videos get lower token rates, though output max is 720p.
Olivia Moore points out that AI video ads have crossed the chasm. She has tracked the field since 2023 and now finds it hard to distinguish AI-generated ads at a glance.
A 95-minute film entirely made with AI, "Hell Grind", premiered at Cannes. Higgsfield has now open-sourced all prompts and assets, ready for direct use.
Seedance 2.5 has gone global on CapCut, offering fewer rerolls and support for up to 50 multimodal references to improve creative direction and streamline the path from prompt to final video.
An early-preview LoRA for MiniMax-H3 enables 4-step audio-video generation instead of ~20 steps, yielding roughly 5x faster sampling, though quality is still immature.
Third-party ComfyUI-compatible LoRA conversions for MiniMax-H3 Turbo 4-step audio-video generation, including further-trained checkpoint-500 variants and an example workflow.
An early-preview LoRA for MiniMax-H3 that enables joint video and synchronized audio generation in 4 sampling steps instead of ~20, offering roughly 5x faster sampling, with ComfyUI custom nodes and three bf16 checkpoints.
The author open-sourced SarasFlow, an AI pipeline that generates educational videos from a topic by scripting, narrating, creating visuals, adding subtitles, and assembling the final video, with modular replaceable components.
ContextMaster is a unified model for interactive multi-shot video creation that maintains shared history across generation, reference conditioning, and editing while using fixed-budget sparse context routing and two-stage privileged context distillation for efficiency.
WorldCycle proposes a self-verifiable reinforcement learning method for long-horizon video world models, using reversible action cycles as free supervision to reduce state-returning drift by up to 44% and boost composite-action accuracy nearly 4x. It also introduces CycleBench to evaluate world models as simulators.
Simon Willison highlights PipeNetwork/minimax-h3-mlx, a Python package that ports MiniMax-H3 to MLX for Apple Silicon, and demonstrates running it on an M5 Max MacBook Pro to generate a video from a text prompt.