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README.md
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# ==============================================
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title: GameForge
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emoji: ⚔️
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colorFrom: purple
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- text-to-speech
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- zerogpu
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short_description: "AI Game Asset Pipeline - Generate game assets using free open-source models"
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models:
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- black-forest-labs/FLUX.1-schnell
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- microsoft/TRELLIS.2
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- myshell-ai/MeloTTS
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---
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title: GameForge
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emoji: ⚔️
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colorFrom: purple
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- text-to-speech
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- text-to-music
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- zerogpu
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models:
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- black-forest-labs/FLUX.1-schnell
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- microsoft/TRELLIS.2
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- myshell-ai/MeloTTS
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short_description: "AI Game Asset Pipeline - Generate game assets using free open-source models"
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---
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# GameForge - AI Game Asset Pipeline
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Generate production-ready game assets using best-in-class open-source AI models.
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Images, video, 3D meshes, audio, voice, music -- all from text prompts.
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**26 of 27 models are FREE** via Hugging Face ZeroGPU Spaces.
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## Asset Types
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| Type | Model | License |
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|------|-------|---------|
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| Images | FLUX.1-schnell | Apache 2.0 |
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| Video | LTX 2.3 Turbo | Apache 2.0 |
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| 3D | TRELLIS.2 | MIT |
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| Voice | MeloTTS | MIT |
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| Music | ACE-Step | Apache 2.0 |
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| SFX | TangoFlux | Apache 2.0 |
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## API
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This Space exposes a REST API via `gradio.Server`. You can call it programmatically:
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```python
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from gradio_client import Client
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client = Client("jkorstad/gameforge")
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# Generate an image
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result = client.predict("/generate_image", {"prompt": "fantasy knight"})
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# Generate NPC voice
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result = client.predict("/generate_voice", {"text": "Welcome, traveler!"})
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# List all models
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result = client.predict("/registry_info")
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```
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## License
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Apache-2.0
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