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Introducing Ideogram 4.0: the best open image model in the world.
Think it. Make it. Own it.
Download the weights, fine-tune on your own data, and run it on your hardware. Live on every Ideogram plan and the API today.
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Ideogram
1,270 posts
Ideogram
@ideogram_ai
Think it. Make it. Own it. Research and product company building open frontier models for generative media and design.
Joined May 2023
- Replying to @ideogram_aiWithin a week, the community built trainers, prompt compilers, LoRAs, and entire workflows. Reply with your best generations and we'll include them in our next community highlights thread.
- Replying to @ideogram_ai9. CRT screens with detailed scan-lines, screen curvature, and reflections. "There's just something about the fidelity and details that no other model can do." Images by u/Beautiful_Egg6188 on r/StableDiffusion
- Replying to @ideogram_ai8. Comic book pages and storyboards, generated panel by panel with bounding boxes. Exact panels, speech bubbles, and lettering, total control over the page. Every panel stays consistent, even without a LoRA. Images by u/echothought on r/StableDiffusion
- Replying to @ideogram_ai7. Generations with cinema-grade composition. Dozens of repeated figures and mirrored reflections, with zero collapse. Commenters called it another level of coherence and control. Images by u/Beautiful_Egg6188 on r/StableDiffusion
- Replying to @ideogram_ai6. Users built prompt compilers to turn natural language and images into JSON prompts. This one runs qwen 3.6 27B locally. Top comment: "the knowledge this model has is unmatched for local and for only 9.3b." Images by u/Producing_It on r/StableDiffusion
- Replying to @ideogram_ai5. Dual character LoRA with spot on identity and zero bleed. With 4.0's regional captioning and prompting capabilities, each identity stays locked to its own region of the frame. "This is the first model I have been able to make this work on."I trained an @ideogram_ai Ideogram4 dual character LoRA on myself and a custom character I have been working on. Identity for both is spot on and there is zero bleed. This is the first model I have been able to make this work on. Regional captioning and prompting is amazing!
- Replying to @ideogram_ai4. Control is becoming the most popular topic around 4.0. You can now get the same results that require 100 seeds on other local models in just a few generations. High quality text rendering on the first try lets users to focus on the rest of the image. Images by
- Replying to @ideogram_ai3. Each image below is Seed 1. First generation, no cherry picking, no re-rolls. No upscaling or post processing. Generated at 2 megapixels on an RTX 3060ti with 8GB of VRAM. Images by u/Puzzled-Valuable-985 on r/StableDiffusion
- Replying to @ideogram_ai2. A full style LoRA, four days after the weights dropped. Trained on 100 images, basic AI Toolkit settings. The style is consistent in every element: new characters, new scenes, even lettering. Images by u/TheDudeWithThePlan on r/StableDiffusion
- Replying to @ideogram_ai1. JSON bounding box prompting increases customization and accuracy at the same time. Every element gets its own caption and position for where it belongs, and 4.0 renders what you placed, where you placed it. Images by u/Far_Insurance4191 on r/StableDiffusion
- One week ago, we released Ideogram 4.0, our first open weight model. Since the launch, the open-source and creative communities have pushed it beyond what we could imagine. Seems like JSON and bounding box prompting is becoming the new norm now. Week one community highlights
- Ideogram reposted
Ideogram 4.0 just landed in Kittl. Create print-ready visuals with sharper text, 2K output, and more control over every generation. Try it now in Kittl. @ideogram
