Models
List of popular text-to-image generative models with their respective parameters and architecture overview
| Publisher | Model | Version | Size | Diffusion Architecture | Model Params | Text Encoder(s) | TE Params | Auto Encoder | License | Release date |
|---|---|---|---|---|---|---|---|---|---|---|
| StabilityAI | Stable Diffusion | 1.5 | 2.28GB | UNet | 0.86B | CLiP ViT-L | 0.12B | VAE | OpenRAIL | 2022 October |
| StabilityAI | Stable Diffusion | 2.1 | 2.58GB | UNet | 0.86B | CLiP ViT-H | 0.34B | VAE | OpenRAIL | 2022 December |
| StabilityAI | Stable Diffusion | XL | 6.94GB | UNet | 2.56B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | OpenRAIL | 2023 July |
| StabilityAI | Stable Diffusion | 3.0 Medium | 15.14GB | MMDiT | 2.0B | CLiP ViT-L + ViT+G + T5-XXL | 0.12B + 0.69B + 4.76B | 16ch VAE | Proprietary | 2024 June |
| StabilityAI | Stable Diffusion | 3.5 Medium | 15.89GB | MMDiT | 2.25B | CLiP ViT-L + ViT+G + T5-XXL | 0.12B + 0.69B + 4.76B | 16ch VAE | Proprietary | 2024 October |
| StabilityAI | Stable Diffusion | 3.5 Large | 26.98GB | MMDiT | 8.05B | CLiP ViT-L + ViT+G + T5-XXL | 0.12B + 0.69B + 4.76B | 16ch VAE | Proprietary | 2024 October |
| StabilityAI | Stable Cascade | Medium | 11.82GB | Multi-stage UNet | 1.56B + 3.6B | CLiP ViT-G | 0.69B | 42x VQE | Proprietary | 2024 February |
| StabilityAI | Stable Cascade | Lite | 4.97GB | Multi-stage UNet | 0.7B + 1.0B | CLiP ViT-G | 0.69B | 42x VQE | Proprietary | 2024 February |
| Black Forest Labs | Flux | 1 Schnell | 32.93GB | MMDiT | 11.9B | CLiP ViT-L + T5-XXL | 0.12B + 4.76B | 16ch VAE | Apache 2.0 | 2024 August |
| Black Forest Labs | Flux | 1 Dev | 32.93GB | MMDiT | 11.9B | CLiP ViT-L + T5-XXL | 0.12B + 4.76B | 16ch VAE | Proprietary | 2024 August |
| Black Forest Labs | Flux | 1 Kontext-Dev | 32.93GB | MMDiT | 11.9B | CLiP ViT-L + T5-XXL | 0.12B + 4.76B | 16ch VAE | Proprietary | 2025 June |
| Black Forest Labs | Flux | 1 Krea-Dev | 32.93GB | MMDiT | 11.9B | CLiP ViT-L + T5-XXL | 0.12B + 4.76B | 16ch VAE | Proprietary | 2025 July |
| lodestones | Chroma | 48 | 26.84GB | MMDiT | 8.9B | CLiP ViT-L + T5-XXL | 0.12B + 4.76B | 16ch VAE | Apache 2.0 | 2025 July |
| Ostris | Flex | 1 Alpha | 25.65GB | MMDiT | 8.16B | CLiP ViT-L + T5-XXL | 0.12B + 2.95B | 16ch VAE | Apache 2.0 | 2025 January |
| Ostris | Flex | 2 Preview | 25.65GB | MMDiT | 8.16B | CLiP ViT-L + T5-XXL | 0.12B + 2.95B | 16ch VAE | Apache 2.0 | 2025 April |
| FreePik | F-Lite | 19.81GB | MMDiT | 9.8B | T5-XXL | 2.95B | 16ch VAE | OpenRAIL | 2025 May | |
| FreePik | F-Lite | Texture | 19.81GB | MMDiT | 9.8B | T5-XXL | 2.95B | 16ch VAE | OpenRAIL | 2025 May |
| FreePik | F-Lite | 7B | 13.89GB | MMDiT | 7B | T5-XXL | 2.95B | 16ch VAE | OpenRAIL | 2025 May |
| NVLabs | Sana | 1.5 1.6B | 9.49GB | MMDiT | 1.60B | Gemma2 | 2.61B | DC-AE | Proprietary | 2025 March |
| NVLabs | Sana | 1.5 4.8B | 15.58GB | MMDiT | 4.72B | Gemma2 | 2.61B | DC-AE | Proprietary | 2025 March |
| NVLabs | Sana | 1.0 1600M | 12.63GB | MMDiT | 1.60B | Gemma2 | 2.61B | DC-AE | Proprietary | 2024 November |
| NVLabs | Sana | 1.0 600M | 7.51GB | MMDiT | 0.59B | Gemma2 | 2.61B | DC-AE | Proprietary | 2024 November |
| nVidia | Cosmos-Predict2 T2I | 2B | 13.32GB | MMDiT | 1.96B | T5-XXL | 4.86 | WAN-VAE | Proprietary | 2025 June |
| nVidia | Cosmos-Predict2 T2I | 14B | 37.36GB | MMDiT | 14.26B | T5-XXL | 4.86 | WAN-VAE | Proprietary | 2025 June |
| FAL | AuraFlow | 0.2 | 31.90GB | MMDiT | 6.8B | UMT5 | 12.1B | VAE | Apache 2.0 | 2024 July |
| FAL | AuraFlow | 0.3 | 31.90GB | MMDiT | 6.8B | UMT5 | 12.1B | VAE | Apache 2.0 | 2024 August |
| AlphaVLLM | Lumina | Next SFT | 8.67GB | DiT | 1.7B | Gemma | 2.5B | VAE | Apache 2.0 | 2024 June |
| AlphaVLLM | Lumina | 2 | 20.75GB | DiT | 2.61B | Gemma-2 | 2.61B | 16ch VAE | Apache 2.0 | 2025 January |
| PixArt | Alpha | XL 2 | 21.3GB | DiT | 0.61B | T5-XXL | 4.76B | VAE | OpenRAIL | 2023 November |
| PixArt | Sigma | XL 2 | 21.3GB | DiT | 0.61B | T5-XXL | 4.76B | VAE | OpenRAIL | 2024 April |
| Segmind | SSD-1B | 8.72GB | UNet | 1.33B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | Apache 2.0 | 2023 October | |
| Segmind | Vega | 6.43GB | UNet | 0.75B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | Apache 2.0 | 2023 November | |
| Segmind | Tiny | 1.03GB | UNet | 0.32B | CLiP ViT-L | 0.12B | VAE | OpenRAIL | 2023 July | |
| Thu-ML | UniDiffuser | v1 | 5.37GB | U-ViT | 0.95B | CLiP ViT-L + CLiP ViT-B | 0.12B + 0.16B | VAE | AGPL 3 | 2023 May |
| Kwai | Kolors | 17.40GB | UNnet | 2.58B | ChatGLM | 6.24B | VAE | Apache 2.0 | 2024 July | |
| PlaygroundAI | Playground | 1.0 | 4.95GB | UNet | 0.86B | CLiP ViT-L | 0.12B | VAE | ? | 2023 December |
| PlaygroundAI | Playground | 2.x | 13.35GB | UNet | 2.56B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | Proprietary | 2023 December |
| Tencent | HunyuanDiT | 1.2 | 14.09GB | DiT | 1.5B | BERT + T5-XL | 3.52B + 1.67B | VAE | Proprietary | 2024 May |
| Warp AI | Wuerstchen | 12.16GB | Multi-stage UNet | 1.0B + 1.05B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | 42x VQE | MIT | 2023 August | |
| Kandinsky | Kandinsky | 2.1 | 5.15GB | Unet | 1.25B | CLiP ViT-G | 0.69B | VQ | Apache 2.0 | 2023 April |
| Kandinsky | Kandinsky | 2.2 | 5.15GB | Unet | 1.25B | CLiP ViT-G | 0.69B | VQ | Apache 2.0 | 2023 July |
| Kandinsky | Kandinsky | 3.0 | 27.72GB | Unet | 3.05B | T5-XXXL | 8.72B | VQ | Apache 2.0 | 2023 November |
| Thudm | CogView | 3 Plus | 24.96GB | DiT | 2.85B | T5-XXL | 4.76B | VAE | Apache 2.0 | 2024 October |
| Thudm | CogView | 4 | 30.39GB | DiT | 6.37B | GLM-4 | 9.40B | VAE | Apache 2.0 | 2025 March |
| IDKiro | SDXS | 2.05GB | UNet | 0.32B | CLiP ViT-L | 0.12B | VAE | OpenRAIL | 2024 March | |
| Open-MUSE | aMUSEd | 256 | 3.41GB | ViT | 0.60B | CLiP ViT-L | 0.12B | VQ | OpenRAIL | 2023 December |
| Koala | Koala | 700M | 6.58GB | UNet | 0.78B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | Proprietary | 2024 January |
| Thu-ML | UniDiffuser | v1 | 5.37GB | U-ViT | 0.95B | CLiP ViT-L + CLiP ViT-B | 0.12B + 0.16B | VAE | aGPL v3 | 2023 May |
| Salesforce | BLIP-Diffusion | 7.23GB | UNet | 0.86B | CLiP ViT-L + BLiP-2 | 0.12B + 0.49B | VAE | BSD 3 | 2023 July | |
| DeepFloyd | IF | M | 12.79GB | Multi-stage UNet | 0.37B + 0.46B | T5-XXL | 4.76B | Pixel | Proprietary | 2023 April |
| DeepFloyd | IF | L | 15.48GB | Multi-stage UNet | 0.61B + 0.93B | T5-XXL | 4.76B | Pixel | Proprietary | 2023 April |
| MeissonFlow | Meissonic | 3.64GB | DiT | 1.18B | CLiP ViT-H | 0.35B | VQ | Apache 2.0 | 2024 October | |
| VectorSpaceLab | OmniGen | v1 | 15.47GB | Transformer | 3.76B | Phi-3 | 0 | VAE | MIT | 2024 October |
| VectorSpaceLab | OmniGen | v2 | 30.50GB | Transformer | 3.97B | Qwen-VL-2.5 | 3.75B | VAE | Apache 2.0 | 2025 June |
| HiDream-AI | HiDream | I1 Fast/Dev/Full | 42.71 GB + 15.69 | MMDiT | 17.10B | CLiP ViT-L + ViT+G + T5-XXL + LLama-3.1-8B | 0.12B + 0.69B + 2.95B + 4.54B | 16ch VAE | MIT | 2025 April |
| Wan-AI | WAN | 2.1 1.3B | 27.72GB | MMDiT | 1.42xB | UMT5-XXL | 5.68B | 16ch VAE | Apache 2.0 | 2025 February |
| Wan-AI | WAN | 2.1 14B | 78.52GB | MMDiT | B | UMT5-XXL | 14.28B | 16ch VAE | Apache 2.0 | 2025 February |
| Bria | Bria | 3.2 | 18.66GB | MMDiT | 3.78B | T5-XXL | 4.76B | 16ch VAE | Proprietary | 2025 June |
| Alibaba | Qwen-Image | 56.10GB | MMDiT | 20.43B | QWen-2.5 | 8.29B | Apache 2.0 | 2025 August |
Notes
- Created using SD.Next built-in model analyzer
- Number of parameters is proportional to model complexity and ability to learn
Quality of generated images is also influenced by training data and duration of training - Size refers to original model variant in 16bit precision where available
Quantized variations may be smaller - Distilled variants are not included as typical goal-distilling does not change underlying model params
e.g. Turbo/LCM/Hyper/Lightning/etc. or even Dev/Schnell