# HiDream-ai/HiDream-I1

Repository: https://github.com/HiDream-ai/HiDream-I1
Canonical: https://ross.abutalabs.com/products/hidream-i1
Language: Python
License: MIT
License Family: permissive
Last push: 2025-07-16T14:38:13+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 32, release rhythm 35, longevity 36
- inputs: {"age_days": 514, "days_push": 413, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2512, forks 247 (observed 2026-08-28T04:06:57.481135+00:00)

## What it is
HiDream-I1 is an open-source 17B-parameter text-to-image generative foundation model based on a Sparse Diffusion Transformer, with full and distilled (Dev/Fast) variants. The repo provides inference scripts and model weights, and the model is officially supported in Hugging Face diffusers.

## Use cases
- generate images from text prompts
- run a state-of-the-art text-to-image model locally
- generate images quickly with a distilled fast model
- integrate a text-to-image model into diffusers pipelines
- compare full vs distilled image generation quality

## When to choose
- you need high-quality open-source text-to-image generation with a permissive MIT license
- you have a CUDA GPU with flash-attention and want local inference
- you want diffusers-compatible image generation models

## When to avoid
- you lack a high-VRAM GPU, since the model is 17B parameters
- you need image editing rather than text-to-image (use HiDream-E1 instead)
- you need a lightweight model for CPU-only environments

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, image-processing, llm-inference
- domain: artificial-intelligence, machine-learning, image-processing, deep-learning
- platform: python
- tags: text-to-image, diffusion-transformer, image-generation, diffusers, generative-ai, gpu, linux

## Member repositories
- HiDream-ai/HiDream-I1 (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:57.481135+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:26:19.235961+00:00, confidence not recorded.
  - readme: https://github.com/HiDream-ai/HiDream-I1 (fetched 2026-08-28T04:06:57.481135+00:00, sha 81fea5ae336f)
- Data as of 2026-08-30T08:39:29.467469+00:00.