Stability AI Releases Stable Diffusion 4 with Video Support
Stability AI has released Stable Diffusion 4, a unified image and video generation model that produces photorealistic outputs and supports video clips up to 30 seconds. The model is open-source and runs on consumer GPUs.
Stability AI has released Stable Diffusion 4, a major leap forward that unifies image and video generation in a single open-source model. SD4 produces photorealistic images that match or exceed Midjourney v7 quality and can generate coherent video clips up to 30 seconds long at 720p resolution.
The model uses a new DiT (Diffusion Transformer) architecture that scales more efficiently than previous U-Net-based designs. The base model requires only 12GB of VRAM, making it runnable on consumer GPUs like the RTX 4070. A quantized version works with as little as 8GB VRAM with minimal quality loss.
SD4's video capabilities represent a breakthrough for open-source AI video. The model maintains temporal consistency, realistic physics, and character identity across frames. While it cannot match Sora 2's 5-minute generation capability, the 30-second clips are sufficient for social media content, advertisements, and creative projects.
Stability AI is also releasing ControlNet 2.0, an updated conditioning system that provides precise control over composition, depth, pose, and style. The combination of SD4 and ControlNet 2.0 gives creators professional-grade control over AI-generated visuals without relying on closed-source services.
The release comes as Stability AI completes a financial restructuring, with new funding from investors focused on open-source AI infrastructure. CEO Prem Akkaraju emphasized that keeping powerful generative models open-source is essential for the creative ecosystem.
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