Methods › Computer Vision › Image Generation Models › GLIDE

Guided Language to Image Diffusion for Generation and Editing

GLIDE

28 papers tagged archive 2025-07-28

Introduced by Alex Nichol et al. in GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

GLIDE is a generative model based on text-guided diffusion models for more photorealistic image generation. Guided diffusion is applied to text-conditional image synthesis and the model is able to handle free-form prompts. The diffusion model uses a text encoder to condition on natural language descriptions. The model is provided with editing capabilities in addition to zero-shot generation, allowing for iterative improvement of model samples to match more complex prompts. The model is fine-tuned to perform image inpainting.

PaperSource

Papers archive 2025-07-28

28 shown of 28, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 29 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Image Generation10
Attribute3
Diversity3
Text-to-Image Generation3
Denoising2
Text to Image Generation2
valid2
8k1
Benchmarking1
Depth Estimation1
Dimensionality Reduction1
Fake Image Detection1
Image Compression1
Image Inpainting1
Knowledge Distillation1
MS-SSIM1
Prediction1
Preference Mapping1
Reranking1
SSIM1

Usage over time archive 2025-07-28

Papers per year tagged with GLIDE: 2021 to 2025, peak 10 10 0 2021: 1 paper 2021 2022: 10 papers 2022 2023: 7 papers 2023 2024: 8 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (28 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Image Generation ModelsMulti-Modal Methods

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