Equation 13 · Adapters, Native Pretraining, and Unified Tokens: The Main Multimodal Architectures, Compared
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a conditioning signal — most often a text embedding — and generation runs the process in reverse, starting from pure noise and repeatedly subtracting a predicted noise estimate. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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Symbol c
a conditioning signal — most often a text embedding — and generation runs the process in reverse, starting from pure noise and repeatedly subtracting a predicted noise estimate.
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where c is a conditioning signal — most often a text embedding — and generation runs the process in reverse, starting from pure noise and repeatedly subtracting a predicted noise estimate.
Sources cited in the article section
- [9] High-Resolution Image Synthesis with Latent Diffusion Models ↗
- [10] Hierarchical Text-Conditional Image Generation with CLIP Latents ↗
- [11] Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding ↗
- [12] Any-to-Any Generation via Composable Diffusion ↗
These citations give research context. Read each source to check which claims it supports.