MMDiT text-to-image model
According to the model card, this is a Multimodal Diffusion Transformer for text-prompt image generation with improved image quality, typography, and prompt understanding.
Open Source Model Profile · stabilityai
stable-diffusion-3-medium is a Stability AI Multimodal Diffusion Transformer for text-to-image generation. Its model card documents triple text encoders and three weight-bundle variants.
stable-diffusion-3-medium is published by Stability AI as a text-to-image generative model. According to the model card, it is a Multimodal Diffusion Transformer for generating images from text prompts. Card data records other, with the card specifying the Stability Community License.
According to the model card, this is a Multimodal Diffusion Transformer for text-prompt image generation with improved image quality, typography, and prompt understanding.
The model card says it uses three fixed pretrained text encoders: OpenCLIP-ViT/G, CLIP-ViT/L, and T5-xxl.
According to the model card, the three safetensors bundles share MMDiT and VAE weights and differ only in text-encoder inclusion and precision.
The model card recommends ComfyUI for self-hosted use and publishes separate diffusers-compatible weights with a StableDiffusion3Pipeline example.
Source: stabilityai/stable-diffusion-3-medium
Captured: Unknown. Processed: 2026-09-07T19:34:58.564051+00:00.
Stable Diffusion 3 Medium Model Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. For more technical details, please refer to the Research paper . Please note: this model is released under the Stability Community License. For Enterprise License visit Stability.ai or contact us for commercial licensing details. Model Description Developed by: Stability AI Model type: MMDiT text-to-image generative model Model Description: This is a model that can be used to generate…
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