Ideogram 4.0
open-weight 9.3B text-to-image model
Details
- External ID
- 48385829
- Source
- HN
- Company
- —
- Product
- Ideogram 4.0
- Website domain
- github.com
- Launched
- June 3, 2026
- Cohort
- —
- Upvotes
- 46
- Upvotes percentile
- 0.8346994535519126
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch.We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control.It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU.For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/We will be happy to answer any questions :)
Enrichment
- Theme
- creative coding and visual experiments
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- open-weight text-to-image model
- Manually corrected
- False
Could you build this?
No Training a state-of-the-art 9.3B parameter diffusion transformer from scratch demands millions of dollars in compute, huge proprietary image-text datasets, and world-class generative AI research expertise.
What it would actually take: Building this requires a massive training cluster (hundreds of H100 GPUs), billions of curated and filtered image-text pairs with bounding-box annotations, and deep diffusion transformer architectural research. Training pipelines require PyTorch/JAX with distributed techniques (Megatron-LM, FSDP, DeepSpeed) and custom CUDA kernels for attention and spatial guidance. This requires specialized deep learning research teams and substantial capital investment.
Discussion
12 comments analyzed.
Competitors mentioned: Black Forest Labs, Canva (template + text rendering), Draw Things (Apple silicon app), Fal.ai (API router), Stable Diffusion
Concerns raised: Non-commercial license restrictions, Overly aggressive safety filter triggering on natural language prompts, Heavily overcooked images from high default CFG settings, Requires significant manual effort and JSON prompt optimization, Safety filter incorrectly triggered by natural language prompts
Feature requests: Apple silicon / Mac support clarification (GUI vs command line), Integrated template + text rendering with font/position automation, Free LLM for complete end-to-end templating workflow, Improved natural language prompt handling without manual JSON structuring
Competitors
Other products that read as similar to this one — 174 launches clear the similarity bar, closest 8 shown.
Attention rank: #37 of 175 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 215 days after the earliest competitor.
- Ideogram 4.0 · ph · 2026-06-05 · 265 upvotes · similarity 0.65
- RTI · github · 2026-09-10 · 14 upvotes · similarity 0.48
- Irpapers · hn · 2026-02-23 · 5 upvotes · similarity 0.43
- VGGT-Diff · github · 2026-09-27 · 44 upvotes · similarity 0.42
- transformer-architecture · github · 2026-09-11 · 67 upvotes · similarity 0.42
- Tiny Diffusion · hn · 2025-11-10 · 172 upvotes · similarity 0.42
- REPI · github · 2026-09-28 · 9 upvotes · similarity 0.42
- Ideogram Studio · ph · 2026-09-16 · 1 upvotes · similarity 0.41
Other launches for this product
- No other launches for this product.
Same idea, different domain
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