VQV Signal
According to a post on X by @bigboss9718, the author ran a MiniMax H3 camera and motion control test in ComfyUI on an RTX 4070 with 8 GB of VRAM and 64 GB of RAM. The test also included a Blender 3D animation generated by Codex. The post says renders at 736x576 took 12:57 and 8:18, and it links a tutorial. At the time of the snippet, the post had about 61 views.
According to a post on X by @bigboss9718, the author ran a MiniMax H3 camera and motion control test in ComfyUI on an RTX 4070 with 8 GB of VRAM and 64 GB of RAM. The test also included a Blender 3D animation generated by Codex. The post says renders at 736x576 took 12:57 and 8:18, and it links a tutorial. At the time of the snippet, the post had about 61 views.
AI-assisted summary based on the listed source.
bigboss9718 posted a MiniMax H3 camera and motion control test run in ComfyUI on an RTX 4070 with 8 GB of VRAM and 64 GB of RAM, with a Blender 3D animation generated by Codex. Renders at 736x576 took 12:57 and 8:18, and a tutorial is linked. It has about 61 views. Why it matters: It shows camera-controlled AI...
The post presents the test as showing camera-controlled AI video running on a mid-range home GPU, not only in the cloud. For creators and hobbyists with consumer hardware, this suggests such workflows may be possible locally, though the post describes a single test run. Watch for other users reproducing the setup and reporting comparable render times.
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
VQV surfaced this signal because it is recent, relevant to AI Video, connected to Scobleizer News Pulse (X).
No login, cookies, social SDKs, or automatic posting.
