Ideogram/Text → Image
Ideogram 4.0: A 9.3B Open-Weight Text-to-Image Model
The new 9.3 billion parameter model uses a Diffusion Transformer architecture and excels at rendering coherent text within generated images.
Lance
Category · image
The newest open-source Text → Image releases, from across the ecosystem.
29 releases
The new 9.3 billion parameter model uses a Diffusion Transformer architecture and excels at rendering coherent text within generated images.
The 3-billion-parameter model handles image and video generation, editing, and understanding from a single set of weights under a permissive license.
The new 8B-parameter SenseNova U1 model from SenseTime is designed for complex multimodal tasks, including the in-conversation generation and editing of infographics.
The new open-source model from inclusionAI uses a Mixture-of-Experts architecture to handle multiple vision tasks in a single, diffusion-based system.
The new SenseNova-U1 model unifies image understanding, generation, and editing within a single 8-billion-parameter framework.
The large diffusion model from the Chinese tech giant is available under the commercially permissive Apache 2.0 license, a notable release for the community.
This new component is part of a novel transformer-based architecture for text-to-image generation, released under a permissive Apache 2.0 license.
The new open-weight model offers a more compact, distilled version of the advanced FLUX architecture for text-to-image and editing tasks.
The makers of the popular Qwen language models have published their first open-source text-to-image generator with a permissive Apache 2.0 license.
The new text-to-image model emphasizes speed and efficiency with a novel architecture and FP8 quantization.
The new 4-billion-parameter model is a distilled version of the powerful FLUX.2 architecture, released under a commercially-friendly Apache 2.0 license.
The new 4-billion-parameter model from Black Forest Labs offers an efficient, transformer-based alternative to latent diffusion for image generation.
The new 9-billion-parameter model uses a Diffusion Transformer architecture, promising higher performance than existing open-source alternatives.
The new 9-billion-parameter text-to-image model uses a novel architecture that operates directly on pixels for faster, more efficient generation.
The new text-to-image model is fluent in both Chinese and English, built on the CogView2 architecture and released under a permissive MIT license.
Alibaba's latest text-to-image generator, Qwen-Image 2512, is optimized for creating visuals from both English and Chinese prompts.
The new text-to-image model from the team behind Qwen uses a diffusion transformer to generate high-resolution images in just a single step.
The developer preview of the next-generation text-to-image architecture promises significant architectural improvements over its predecessor.
The new open-source model from the Allen Institute for AI unifies text and image understanding and generation into a single architecture.
The new text-to-image generator from the Chinese tech giant uses a Mixture-of-Experts architecture for more efficient and detailed image creation.
The new text-to-image generator from the Chinese tech giant uses a Mixture-of-Experts architecture for improved efficiency and output quality.
This new open-source model uses a diffusion architecture instead of a typical transformer to generate and understand a mix of media types.
The new text-to-image model uses a novel rejection sampling technique to align Stable Diffusion XL more closely with human aesthetic preferences.
The new text-to-image model from the Chinese tech giant is designed to understand both Chinese and English prompts at high resolutions.
The new Apache 2.0 diffusion model from Alibaba's Qwen team focuses on accurately rendering both English and Chinese characters within generated images.
The new autoregressive model from the Chinese AI lab can understand, generate, and edit images within a single, compact framework.
The new 12-billion-parameter model, tuned by creative AI platform Krea, focuses on high-quality aesthetic output and prompt fidelity.
The new 3-billion-parameter model from AIDC-AI combines vision-language understanding and image generation into a single 'any-to-any' framework.
The new 7-billion-parameter model from FreedomIntelligence can process various inputs and generate or edit images based on text prompts.
![FLUX.2 [dev]](/_next/image?url=https%3A%2F%2Fcdn-thumbnails.huggingface.co%2Fsocial-thumbnails%2Fmodels%2Fblack-forest-labs%2FFLUX.2-dev.png&w=3840&q=75)
![FLUX.1 Krea [dev]](/_next/image?url=https%3A%2F%2Fcdn-thumbnails.huggingface.co%2Fsocial-thumbnails%2Fmodels%2Fblack-forest-labs%2FFLUX.1-Krea-dev.png&w=3840&q=75)
