HeartSync
A downloadable game for Windows
Create your own AI companions and start dating.
Design your own characters — choose their gender, personality, and looks.
Swipe through your creations and see who you match with. Once matched,
you're free to talk about anything — you're the creator, so the conversation
goes wherever you want it to.
Send images in chat or simply ask for one — just type "send me a pic" and
your match will reply with an image of themselves.
Features:
- Create and customize your own AI characters
- Swipe & match system
- Freeform chat — talk about anything, no restrictions on topics
- In-chat AI-generated images, sent automatically or on request
- Runs 100% locally on your own PC — nothing is uploaded, nothing is tracked
Requirements: Windows 10/11, dedicated GPU (Nvidia, AMD, or Intel) with
8GB+ VRAM recommended. Full setup instructions included after download.
Purchase
In order to download this game you must purchase it at or above the minimum price of 9.00€ EUR. You will get access to the following files:
Comments
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Hi, I thought I would try this before purchasing so I have installed the light version. I am having some issues with chat generation, and submit the following for your information. I created a new profile with no uploaded image, here's an image of the results, please let me know if you want the information produced in the Dating App Server console:
Bug Report: Dual-output JSON Parse Failure Symptom: Chat responses display as static placeholder images instead of text Console Log Evidence: - LLM generates 215-220 tokens successfully (confirmed via timing logs) - HTTP 200 OK responses from llama-server - WARNING:llm_client:Dual-output JSON parse failed, raw='' - Image appears that is NOT from Stable Diffusion (not SD-generating) System Specs: - RTX 3060 12GB - Windows 10/11 - Using llama-server.exe + Gemma-4 GGUF model - Tested with SD disabled (still shows images) Expected Behavior: - Text response from LLM should display in chat - Images should only appear when explicitly requested or SD is enabled Actual Behavior: - All responses render as hardcoded placeholder image - Text from LLM is discarded after successful generation Likely Cause: - Heartsync expects dual-output JSON format from LLM - Generic llama-server only returns plain text - Parse failure triggers fallback to placeholder image
Hi andevol, thanks for the detailed report — really appreciate the console log evidence and the structured write-up, that made this easy to track down.
Found it: you had a reasoning model selected, which "thinks" internally before producing its actual answer. That internal reasoning was eating up the whole token budget, so nothing was left for the actual response — the dual-output parser then received an empty string and fell back to the placeholder image. For this app I'd generally recommend an instruct model over a reasoning model — reasoning models also tend to take noticeably longer to generate, on top of this issue. That's fixed now and already live in the current upload, so reasoning models should work correctly too if you prefer to stick with Gemma.
On the image trigger issue: you're right, that one's still open. Right now the app detects image intent based on a simple keyword match, so any message containing the word "image" triggers generation, even in something like "don't generate an image." I haven't fixed that one yet, but it's on my list — I'll follow up here once it's resolved.
Feel free to grab the current update and test the reasoning-model fix in the meantime. Thanks again for taking the time to write this up so thoroughly before even purchasing.
Happy dating!
Hi Inoxannin,
Thanks so much for your reply and for looking into this. I will test the reasoning model, but also try an instruct model.