PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models resource

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1110 stars · 32 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of research papers and resources on controllable generation with text-to-image diffusion models, accompanying an arXiv survey paper. It organizes works by condition types such as personalization, spatial control, and multi-condition generation.

Use cases

• find papers on controllable text-to-image diffusion models
• research personalization methods for stable diffusion
• survey spatial control techniques for image generation
• keep up with new controllable generation papers
• find subject-driven and style-driven generation methods
• prepare a literature review on diffusion model conditioning

When to choose

• you need a structured, categorized index of T2I diffusion control research
• you are writing a survey or literature review on controllable generation
• you want to track new papers via an actively maintained database

When to avoid

• you need runnable code or a library rather than a paper list
• you want tutorials or beginner guides instead of research papers
• you need non-diffusion generative model resources

Facets

learning-resource · maturity active

stable-diffusion machine-learning deep-learning artificial-intelligence image-processing awesome-lists tutorials cross-platform awesome-list diffusion-models text-to-image controllable-generation personalization survey-paper research-papers

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models")