...
| Model | pipeline | size | time | image example |
|---|---|---|---|---|
| Stable Cascade 1.0 | ||||
| Stable Diffusion 3.5 | ||||
tensorart--stable-diffusion-3.5-medium-turbo | StableDiffusion3Pipeline | GPU 9178 MB 7% | RAM 18.02 GB 14% | 7m 3.79s |
|
stableDiffusion35_large | StableDiffusion3Pipeline | GPU 16528 MB 13% | RAM 28.76 GB 23% | 2m 41.02s |
|
| Stable Diffusion XL | ||||
dreamshaperXL_v21TurboDPMSDE [4496b36d48] | StableDiffusionXLPipeline | GPU 6590 MB 5% | RAM 8.89 GB 7% | 1m 45.68s |
|
TempestV0.1-Artistic [9ca260b31e] | StableDiffusionXLPipeline | GPU 6590 MB 5% | RAM 8.93 GB 7% | 1m 47.59s |
|
juggernautXL_ragnarokBy [dd08fa32f9] | StableDiffusionXLPipeline | GPU 6588 MB 5% | RAM 8.89 GB 7% | 1m 47.37s |
|
realvisxlV50_v50Bakedvae [49527024b6] | StableDiffusionXLPipeline | GPU 6588 MB 5% | RAM 9.14 GB 7% | 1m 46.33s |
|
ponyDiffusionV6XL_v6TurboMerge [7555ac941f] | StableDiffusionXLPipeline | GPU 6588 MB 5% | RAM 9.16 GB 7% | 1m 46.88s |
|
prefectPonyXL_v50 [d1a2aac8e5] | StableDiffusionXLPipeline | GPU 6588 MB 5% | RAM 9.16 GB 7% | 1m 45.82s |
|
realismByStableYogi_ponyV3VAE [4796b66fd0] | StableDiffusionXLPipeline | GPU 6588 MB 5% | RAM 9.17 GB 7% | 1m 47.67s |
|
ponyRealism_V23 [8ffda79382] | StableDiffusionXLPipeline | GPU 6588 MB 5% | RAM 9.15 GB 7% | 1m 49.29s |
|
etri-vilab--koala-700m-llava-cap [d7992bd7b2] | StableDiffusionXLPipeline | GPU 2976 MB 2% | RAM 5.61 GB 4% | 51.43s |
|
| Stable diffusion 1.5 | ||||
dreamshaper_8 | StableDiffusionPipeline | GPU 3224 MB 3% | RAM 4.62 GB 4% | 23.51s |
|
ostris--Flex.1-alpha | 25G | 7m | ||
kandinsky-community--kandinsky-3 | 27G | 22m | 512x512 -ok, 1024 -not | |
segmind---SD-4x2-v0 | 3.7G | |||
XCLiu--instaflow_0_9B_from_sd_1_5 | 5.2G | |||
juggernaut_reborn | 2.0G | not finished | ||
meinamix_v12Final | 2.0G | 6m | need more than 20 steps | |
epicrealism_naturalSin | 6.5G | 2m | need more than 20 steps | |
counterfeitV30_25 | 4.0G | 5m | ||
| stabilityai--stable-cascade-prior | 21G | 3m | 256 and 512 not work | |
Tencent-Hunyuan--HunyuanDiT-v1.2-Diffusers | 14G | |||
| koala-700m-llava-cap | ||||
...
https://en.wikipedia.org/wiki/Stable_Diffusion
| Version number | Release date | Parameters | Notes |
|---|---|---|---|
| 1.1, 1.2, 1.3, 1.4 | August 2022 | All released by CompVis. There is no "version 1.0". 1.1 gave rise to 1.2, and 1.2 gave rise to both 1.3 and 1.4. | |
| 1.5 | October 2022 | 983M | Initialized with the weights of 1.2, not 1.4. Released by RunwayML. |
| 2.0 | November 2022 | Retrained from scratch on a filtered dataset. | |
| 2.1 | December 2022 | Initialized with the weights of 2.0. | |
| XL 1.0 | July 2023 | 3.5B | The XL 1.0 base model has 3.5 billion parameters, making it around 3.5x larger than previous versions. |
| XL Turbo | November 2023 | Distilled from XL 1.0 to run in fewer diffusion steps. | |
| 3.0 | February 2024 (early preview) | 800M to 8B | A family of models. |
| 3.5 | October 2024 | 2.5B to 8B | A family of models with Large (8 billion parameters), Large Turbo (distilled from SD 3.5 Large), and Medium (2.5 billion parameters). |
SD.Next Doc Models
https://vladmandic.github.io/sdnext-docs/Models/
| Publisher | Model | Version | Size | Diffusion Architecture | Model Params | Text Encoder(s) | TE Params | Auto Encoder | Other |
|---|---|---|---|---|---|---|---|---|---|
| StabilityAI | Stable Diffusion | 1.5 | 2.28GB | UNet | 0.86B | CLiP ViT-L | 0.12B | VAE | |
| StabilityAI | Stable Diffusion | 2.1 | 2.58GB | UNet | 0.86B | CLiP ViT-H | 0.34B | VAE | |
| StabilityAI | Stable Diffusion | XL | 6.94GB | UNet | 2.56B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | |
| 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 | |
| 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 | |
| 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 | |
| StabilityAI | Stable Cascade | Medium | 11.82GB | Multi-stage UNet | 1.56B + 3.6B | CLiP ViT-G | 0.69B | 42x VQE | |
| StabilityAI | Stable Cascade | Lite | 4.97GB | Multi-stage UNet | 0.7B + 1.0B | CLiP ViT-G | 0.69B | 42x VQE | |
| Black Forest Labs | Flux | 1 Dev/Schnell | 32.93GB | MMDiT | 11.9B | CLiP ViT-L + T5-XXL | 0.12B + 4.76B | 16ch VAE | |
| Ostris | Flex | 1 Alpha | 25.65GB | MMDiT | 4.0B | CLiP ViT-L + T5-XXL | 0.12B + 2.95B | 16ch VAE | |
| NVLabs | Sana | 1.5 1.6B | 9.49GB | MMDiT | 1.60B | Gemma2 | 2.61B | DC-AE | |
| NVLabs | Sana | 1.5 4.8B | 15.58GB | MMDiT | 4.72B | Gemma2 | 2.61B | DC-AE | |
| NVLabs | Sana | 1.0 1600M | 12.63GB | MMDiT | 1.60B | Gemma2 | 2.61B | DC-AE | |
| NVLabs | Sana | 1.0 600M | 7.51GB | MMDiT | 0.59B | Gemma2 | 2.61B | DC-AE | |
| FAL | AuraFlow | 0.3 | 31.90GB | MMDiT | 6.8B | UMT5 | 12.1B | VAE | |
| AlphaVLLM | Lumina | Next SFT | 8.67GB | DiT | 1.7B | Gemma | 2.5B | VAE | |
| AlphaVLLM | Lumina | 2 | 20.75GB | DiT | 2.61B | Gemma-2 | 2.61B | 16ch VAE | |
| PixArt | Alpha | XL 2 | 21.3GB | DiT | 0.61B | T5-XXL | 4.76B | VAE | |
| PixArt | Sigma | XL 2 | 21.3GB | DiT | 0.61B | T5-XXL | 4.76B | VAE | |
| Segmind | SSD-1B | N/A | 8.72GB | UNet | 1.33B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | |
| Segmind | Vega | N/A | 6.43GB | UNet | 0.75B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | |
| Segmind | Tiny | N/A | 1.03GB | UNet | 0.32B | CLiP ViT-L | 0.12B | VAE | |
| Kwai | Kolors | N/A | 17.40GB | UNnet | 2.58B | ChatGLM | 6.24B | VAE | |
| PlaygroundAI | Playground | 1.0 | 4.95GB | UNet | 0.86B | CLiP ViT-L | 0.12B | VAE | |
| PlaygroundAI | Playground | 2.x | 13.35GB | UNet | 2.56B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | |
| Tencent | HunyuanDiT | 1.2 | 14.09GB | DiT | 1.5B | BERT + T5-XL | 3.52B + 1.67B | VAE | |
| Warp AI | Wuerstchen | N/A | 12.16GB | Multi-stage UNet | 1.0B + 1.05B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | 42x VQE | |
| Kandinsky | Kandinsky | 2.2 | 5.15GB | Unet | 1.25B | CLiP ViT-G | 0.69B | VQ | |
| Kandinsky | Kandinsky | 3.0 | 27.72GB | Unet | 3.05B | T5-XXXL | 8.72B | VQ | |
| Thudm | CogView | 3 Plus | 24.96GB | DiT | 2.85B | T5-XXL | 4.76B | VAE | |
| Thudm | CogView | 4 | 30.39GB | DiT | 6.37B | GLM-4 | 9.40B | VAE | |
| IDKiro | SDXS | N/A | 2.05GB | UNet | 0.32B | CLiP ViT-L | 0.12B | VAE | |
| Open-MUSE | aMUSEd | 256 | 3.41GB | ViT | 0.60B | CLiP ViT-L | 0.12B | VQ | |
| Koala | Koala | 700M | 6.58GB | UNet | 0.78B | CLiP ViT-L + ViT+G | 0.12B + 0.69B | VAE | |
| Thu-ML | UniDiffuser | v1 | 5.37GB | U-ViT | 0.95B | CLiP ViT-L + CLiP ViT-B | 0.12B + 0.16B | VAE | |
| Salesforce | BLIP-Diffusion | N/A | 7.23GB | UNet | 0.86B | CLiP ViT-L + BLiP-2 | 0.12B + 0.49B | VAE | |
| DeepFloyd | IF | M | 12.79GB | Multi-stage UNet | 0.37B + 0.46B | T5-XXL | 4.76B | Pixel | |
| DeepFloyd | IF | L | 15.48GB | Multi-stage UNet | 0.61B + 0.93B | T5-XXL | 4.76B | Pixel | |
| MeissonFlow | Meissonic | N/A | 3.64GB | DiT | 1.18B | CLiP ViT-H | 0.35B | VQ | |
| VectorSpaceLab | OmniGen | v1 | 15.47GB | Transformer | 3.76B | None | 0 | VAE | Phi-3 |
| HiDream-AI | HiDream | I2 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 |