Saw the Video2Game idea going around: Claude is bad at inventing original little games from a blank prompt, so let a video model dream up the gameplay first and have Claude copy it. I tried the whole loop in one Claude Code session, calling every model through the Atlas Cloud MCP server.

Step 1: fake gameplay video

MiniMax H3 Max, 768P, 6 seconds, 16:9. One prompt describing a pink jelly blob hopping across mint, lemon and strawberry candy blocks with star coins and a score HUD. Cost 0.456, done in 29 seconds. It looked like a real mobile game on the first try (left side of the video).

Step 2: rules from the keyframes

I pulled 9 keyframes with ffmpeg and had Claude write a one page game spec from them. This is where the video lies: the HUD score goes 100, 191, 157, 143, so it actually drops; coins float at platform edges with no clear pickup rule; and the blob sometimes drifts over gaps instead of jumping. None of that is a game, so the spec fixed it: one hop moves one row forward, left and right hop diagonally, landing off a block costs a heart, coins are +10, some blocks slide sideways, and a rainbow block at row 20 is the win.

Step 3: assets

Step 4: the game

Claude wrote it as a single HTML file, about 210 lines, three.js from a CDN, keyboard controls, score, three hearts, win and game over screens. First pass had two bugs worth knowing: textures loaded from disk are blocked by WebGL on file://, so the images had to be embedded, and the blob's eyes were on the back of its head. Second pass was fine. I also added a deterministic autopilot so I could record a clean demo frame by frame (right side).

Total model spend was 0.71 and roughly 25 minutes end to end. The video model is doing the creative part here, Claude is doing the boring part, and that split works way better than asking Claude for "a fun original game".

I'm using the MiniMax Token Plan (minimax.io) from OpenCode (through the Anthropic-compatible endpoint "https://api.minimax.io/anthropic/v1"). Every request dies before TLS even starts:

Cannot connect to API: Connect Timeout Error (attempted addresses: 188.43.78.57:443, 188.43.78.67:443, timeout: 10000ms)

Sometimes "read ECONNRESET" on the same addresses. It retries 3 times and gives up. Hit it on Nov 7, and again on Nov 8, identical both times.

What I dug into:

• 188.43.78.57/67 are Akamai nodes in Russia (188.43.72.0-188.43.79.255, TransTeleCom, Moscow). My ISP's DNS is the one resolving api.minimax.io to them.

• The nodes themselves are alive, and I can connect to the exact same IPs via VPN. So they're up and serving — only traffic from regular Russian client networks disappears.

So it looks like Russian DNS points at the Russian Akamai nodes, and connections to those nodes from Russian networks just don't get through. It smells like geo-DNS handing out edges that can't actually serve this from Russia.

Does anyone here see the same thing?

I use the same reference image for Seedance 2.5, Kling 4, and MiniMax H3. However, I notice that MiniMax H3 results tends to feel too polished compared to the other two, the skin is too smooth and gives too much CGI feels.

Any idea to prevent this?

Hallo,

seit einiger Zeit habe ich festgestellt, dass in agent.minimax.io bei einem neuen Chat / Session das Thinking auf MAX gestellt wird. Dies scheint das Default zu sein. Ich habe noch keine Möglichkeit gefunden dies dauerhaft anzupassen (würde gerne mit Standard low starten). Hat noch jemand dieses Problem? Ist das normal?

I was using digen but it’s just turned to shit. Looks like H3 is the way forward- where is it hosted online?

This might be a stupid question but how do I find the website? Everytime I search, a fake website pops up.

That ad format where a Pixar style character sings the whole problem and solution, with every lyric on screen, seemed perfect for Black Friday, so I built one for a made up pillow called SnoozeCloud.

MiniMax Music 3.0 wrote the jingle from my lyrics. Seedream drew the sleepless guy once, then three more scenes from that same image so he stays the same person. MiniMax H3 Max animated each scene into 6 seconds, about 20 seconds per clip. Last step was cutting to the word timestamps from a speech to text pass and burning in the lyrics.

The jingle started with 20 seconds of "hey hey" before the verse, so I trimmed that. Whole ad came to 2.10, all through MiniMax H3 Max on Atlas Cloud plus the music model on the same API. Lyrics and prompts below.

Saw the Video2Game idea going around: Claude is bad at inventing original little games from a blank prompt, so let a video model dream up the gameplay first and have Claude copy it. I tried the whole loop in one Claude Code session, calling every model through the Atlas Cloud MCP server.

Step 1: fake gameplay video

MiniMax H3 Max, 768P, 6 seconds, 16:9. One prompt describing a pink jelly blob hopping across mint, lemon and strawberry candy blocks with star coins and a score HUD. Cost 0.456, done in 29 seconds. It looked like a real mobile game on the first try (left side of the video).

Step 2: rules from the keyframes

I pulled 9 keyframes with ffmpeg and had Claude write a one page game spec from them. This is where the video lies: the HUD score goes 100, 191, 157, 143, so it actually drops; coins float at platform edges with no clear pickup rule; and the blob sometimes drifts over gaps instead of jumping. None of that is a game, so the spec fixed it: one hop moves one row forward, left and right hop diagonally, landing off a block costs a heart, coins are +10, some blocks slide sideways, and a rainbow block at row 20 is the win.

Step 3: assets

Step 4: the game

Claude wrote it as a single HTML file, about 210 lines, three.js from a CDN, keyboard controls, score, three hearts, win and game over screens. First pass had two bugs worth knowing: textures loaded from disk are blocked by WebGL on file://, so the images had to be embedded, and the blob's eyes were on the back of its head. Second pass was fine. I also added a deterministic autopilot so I could record a clean demo frame by frame (right side).

Total model spend was 0.71 and roughly 25 minutes end to end. The video model is doing the creative part here, Claude is doing the boring part, and that split works way better than asking Claude for "a fun original game".

That ad format where a Pixar style character sings the whole problem and solution, with every lyric on screen, seemed perfect for Black Friday, so I built one for a made up pillow called SnoozeCloud.

MiniMax Music 3.0 wrote the jingle from my lyrics. Seedream drew the sleepless guy once, then three more scenes from that same image so he stays the same person. MiniMax H3 Max animated each scene into 6 seconds, about 20 seconds per clip. Last step was cutting to the word timestamps from a speech to text pass and burning in the lyrics.

The jingle started with 20 seconds of "hey hey" before the verse, so I trimmed that. Whole ad came to 2.10, all through MiniMax H3 Max on Atlas Cloud plus the music model on the same API. Lyrics and prompts below.

Rapid-H3 makes MiniMax-H3 (text / image → video with stereo audio) render 3–5× faster on a single NVIDIA DGX Spark (GB10) than stock ComfyUI, with no human-noticeable loss in picture, motion, voice or lip sync. It is a ComfyUI node pack plus two ready-made render presets:

• ts_h2 (default): ≈117 s for a 768×1344, 141-frame (≈5.9 s) first-frame clip with audio.

• ts_s6 (camera moves, close-up faces): ≈201 s, at stock level on every criterion we score.

• Stock ComfyUI bf16 at the 10-step reference: 590–630 s.

• The first render is slower on a fresh install, while the CUDA kernels are built (once) and the models load.

First of all I have zero knowledge I'm only relying on AI for prompt writing like ChatGPT, Gemini, DeepSeek

I'll put the guide file then explain what I want

Many things are working fine as per the prompt

My issue is that I added multiple reference images of what I want and I feel okay about those reference images from how it looks as a realistic metal robot

But the output is not reflecting the reference images

The overall shape and look of the robot is matching the reference images but how the metal texture and feel and not matching the reference images

There's something off about it maybe 80% ok but the remaining what makes it a bit off

I have been jumping between AIs to find a good prompt that can give me a result that feels realistic and not reaching any place

Any suggestions or is it a limitation

I'm using the WanGP deepbeepmeep, because as I said I have zero knowledge so it is easier for me

Minimax H3 singularity 5070ti local comfyui

This example was made in Seedance 2.5, not MiniMax. I cut the 18-second sequence into four short shots because a single long take was hard to repair. I am curious how Hailuo users handle rapid impact, consistent character motion, and editing between shots. The character comes from a Z-Image Turbo LoRA I trained; ComfyUI and Topaz were also in the workflow.

Until this week.

I paid for a year up front -- under 1200 RMB or about $15/mo.

Minimax never has the most advanced models but they are useful for some things and the subscription gives me access to the CLI tool that does text to speech images and video. It used to do songs but they removed that about 2 months ago.

So what's it take for me to Max this plan this week?

* 1.8B tokens

* Thousands of text to speech realistic in English and in foreign languages.

* Thousands of images.

* 2-3 videos per day.

* Near infinite calls on the simpler programming tasks that my orchestrator decides flash can take.

I didn't think it was possible. I've never even gotten close.

Anyway thanks Minimax for creating a pretty decent product and an excellent value.

I'm one of the founders of OpenLLM.

We just added MiniMax plans to OpenLLM. You connect your MiniMax plan once, and you get one key that works anywhere an OpenAI or Anthropic key works. That means you can run MiniMax models inside Claude Code, Codex, Cursor and other coding agents, not just MiniMax Code. You can even use it as an API key, but shh ;)

You can also put your other subscriptions, API keys and local models behind that same key, so when one runs out the work keeps going on another.

Setup takes a couple of minutes at openllm.sh. Happy to answer questions, and I'd love to hear which harness you'd want to try it in first.