borisdayma/dalle-mini
DALL·E Mini - Generate images from a text prompt observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1887
- days_rel: n/a
- days_push: 1028
- n_releases_24m: 0
Adoption not part of the score
14740 stars · 1217 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DALL·E Mini is a Python library and model that generates images from a text prompt, available via pip and hosted on Hugging Face Model Hub. It powers the Craiyon web app and includes training and inference pipelines built on JAX/FLAX.
Use cases
- generate images from a text prompt
- run text-to-image generation in Python
- train a small DALL-E style model
- experiment with an inference pipeline notebook
- self-host a text-to-image model
When to choose
- you want a lightweight open text-to-image model you can run or fine-tune yourself
- you want to study or extend a DALL-E style architecture in JAX/FLAX
When to avoid
- you need state-of-the-art image quality from modern diffusion models
- you want a maintained turnkey product rather than a research codebase
Facets
library · maturity maintenance
machine-learning deep-learning image-processing llm-inference artificial-intelligence machine-learning image-processing deep-learning python cloud text-to-image image-generation dalle jax huggingface generative-ai gpu
2 sources
- readme: https://github.com/borisdayma/dalle-mini · fetched 2026-08-28 · 421b3e9f1ffe
- registry_pypi: https://pypi.org/pypi/dalle-mini/json · fetched 2026-08-29 · 367dfe0c9d5d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| borisdayma/dalle-mini | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="borisdayma/dalle-mini")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem