Ross ROSS = Recommend OSS · open-source software intelligence for agents

HiDream-ai/HiDream-O1-Image

None observed · 2026-08-28

github.com/HiDream-ai/HiDream-O1-Image · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

53/100

  • Activity 88
  • Release rhythm 35
  • Longevity 8

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 117
  • days_rel: n/a
  • days_push: 72
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1510 stars · 38 forks observed · 2026-08-28

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

HiDream-O1-Image is an open-weights 8B image generation foundation model built on a Pixel-level Unified Transformer (UiT) that natively encodes raw pixels, text, and task conditions in a single token space. It supports text-to-image generation, image editing, and subject-driven personalization at up to 2048x2048 resolution, with PyTorch inference pipelines and Hugging Face integrations.

Use cases

  • generate images from text prompts
  • edit existing images with natural language instructions
  • create images featuring a specific subject or character in new scenes
  • render long multilingual text accurately inside generated images
  • run a state-of-the-art open-weights text-to-image model locally
  • control layout and skeleton conditioning for image generation

When to choose

  • you need high-quality open-weights text-to-image generation up to 2K resolution
  • you want unified text-to-image, editing, and subject personalization in one model
  • you need accurate text rendering and layout control in generated images
  • you want to self-host image generation without external VAEs or disjoint text encoders

When to avoid

  • you need a lightweight model for CPU-only or low-VRAM devices
  • you only need simple image manipulation like cropping or filtering
  • you require a managed cloud API rather than self-hosted inference
  • you depend on PyTorch 2.9.x, which has known compatibility issues

Facets

library · maturity active

image-processing machine-learning deep-learning llm-inference artificial-intelligence image-processing deep-learning machine-learning python cross-platform text-to-image image-editing diffusion-model transformer personalization image-generation open-weights huggingface gpu linux

1 source

Member repositories

RepositoryRoleHealth v2
HiDream-ai/HiDream-O1-Imagemain53

For agents

markdown · JSON · MCP: product_card(name="HiDream-ai/HiDream-O1-Image")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem