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StudioMI300
Open-source text-to-cinematic-reel on a single AMD MI300X
One sentence becomes a 30-second cinematic reel with characters, story, music, and voice-over — end-to-end on a single AMD Instinct MI300X. 8 stages, sequential: Qwen3.5-35B Director plans 6 shots, FLUX.2 paints character keyframes (no LoRA training), Wan2.2 animates, vision critic auto-retries bad clips, ACE-Step adds music, Kokoro narrates in 9 languages, ffmpeg mixes. Every model Apache 2.0 / MIT. Outputs commercially usable. Single MI300X end-to-end thanks to 192GB HBM3.
Hey Product Hunt 👋
Built StudioMI300 solo for the AMD x lablab hackathon (May 2026). Motivation was simple: Sora and Runway produce beautiful clips but leave you with zero leverage - closed weights, vendor cloud, your output under their ToS.
I wanted to know: can the open-source stack (FLUX.2, Wan2.2, ACE-Step, Kokoro) be stitched into an autonomous end-to-end pipeline that produces a complete cinematic artifact from one prompt?
Turns out yes - if you have a single AMD MI300X with 192GB HBM3, which lets four very different architectures share one card sequentially.
What's different vs other AI video tools:
🎬 End-to-end autonomous - single sentence, no manual scene/shot writing
🤖 Director Agent emits inspectable JSON plan (edit shots, re-render selectively)
🔍 Vision Critic auto-retries bad clips with 10-label failure taxonomy
🎵 Music + 9-language narration in the same pipeline
🎨 Character identity via FLUX.2 reference editing (no LoRA training step)
📦 100% Apache 2.0 / MIT - outputs commercially usable
Built in 7 days. Every line of optimization (FBCache 2× + torch.compile 1.2×) and every incident (AITER FP8 segfault, MagCache calibration miss) is documented publicly.
Try the live demo on HF Space (link above) or fork the code on GitHub: https://github.com/bladedevoff/s...
Would love feedback, especially from anyone who's tried to compose open-weights video stacks before. Happy to dig into architecture choices, optimization details, or the vision critic's failure taxonomy in comments.
About StudioMI300 on Product Hunt
“Open-source text-to-cinematic-reel on a single AMD MI300X”
StudioMI300 was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #154 on the daily leaderboard. One sentence becomes a 30-second cinematic reel with characters, story, music, and voice-over — end-to-end on a single AMD Instinct MI300X. 8 stages, sequential: Qwen3.5-35B Director plans 6 shots, FLUX.2 paints character keyframes (no LoRA training), Wan2.2 animates, vision critic auto-retries bad clips, ACE-Step adds music, Kokoro narrates in 9 languages, ffmpeg mixes. Every model Apache 2.0 / MIT. Outputs commercially usable. Single MI300X end-to-end thanks to 192GB HBM3.
On the analytics side, StudioMI300 competes within Music, Artificial Intelligence, GitHub and Video — topics that collectively have 564.9k followers on Product Hunt. The dashboard above tracks how StudioMI300 performed against the three products that launched closest to it on the same day.
Who hunted StudioMI300?
StudioMI300 was hunted by Denis Belianin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of StudioMI300 including community comment highlights and product details, visit the product overview.
Denis Belianin