kuprel/min-dalle

Health v2 · maintenance only

Adoption not part of the score

3494 stars · 247 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

min(DALL·E) is a fast, minimal PyTorch port of DALL·E Mini/Mega stripped down for text-to-image inference, with only numpy, requests, pillow, and torch as dependencies. It generates image grids from text prompts on CUDA or CPU GPUs.

Use cases

• generate images from text prompts in python
• run DALL·E Mini inference locally on a GPU
• text-to-image generation with pytorch
• create a 3x3 grid of images from a caption
• lightweight text-to-image model without heavy dependencies
• reproducible image generation with a fixed seed

When to choose

• you want minimal-dependency DALL·E Mini/Mega inference in PyTorch
• you need fast text-to-image generation on a single GPU or Colab
• you want programmatic control over sampling parameters like temperature, top_k, and supercondition_factor

When to avoid

• you need state-of-the-art image quality from modern diffusion models
• you need training or fine-tuning rather than inference
• you need a hosted API rather than running models locally

Facets

library · maturity maintenance

machine-learning image-processing llm-inference artificial-intelligence deep-learning image-processing python cross-platform text-to-image dalle-mini pytorch image-generation inference gpu

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