Initial release: MicroForge v0.1.0 - Novel mobile-first image generation architecture
Browse files- microforge/__init__.py +18 -0
microforge/__init__.py
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# MicroForge: A Novel Mobile-First Image Generation Architecture
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# Combining Recurrent Interface Planning, SSM Backbone, and Deep Compression
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#
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# Architecture by design: sub-4GB inference, trainable on 16GB GPU
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# Key innovations:
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# 1. Recurrent Latent Planner (RLP) - iterative refinement of compact latent plan
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# 2. SSM-Conv Hybrid Backbone - linear-time sequence processing with local enhancement
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# 3. Deep Compression VAE (DC-VAE) - 32x spatial compression with residual shortcuts
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# 4. Rectified Flow objective with consistency distillation path
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# 5. Spatial-concat editing readiness (DreamLite-style)
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__version__ = "0.1.0"
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from .vae import MicroForgeVAE
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from .backbone import MicroForgeBackbone
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from .planner import RecurrentLatentPlanner
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from .pipeline import MicroForgePipeline
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from .training import MicroForgeTrainer, FlowMatchingScheduler
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