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https://github.com/vladmandic/automatic
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sort reference models
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
+123
-116
@@ -1,17 +1,20 @@
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{
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"Boogu Image 0.1 Turbo": {
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"path": "Boogu/Boogu-Image-0.1-Turbo",
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"preview": "Boogu--Boogu-Image-0.1-Turbo.jpg",
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"desc": "Boogu Image 0.1 Turbo is the distilled fast inference variant of Boogu Image with the same Qwen3-VL instruction encoder and Boogu transformer architecture.",
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"size": 35.81,
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"date": "2026 June"
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"Segmind Tiny": {
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"path": "segmind/tiny-sd",
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"preview": "segmind--tiny-sd.jpg",
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"desc": "Segmind's Tiny-SD offers a compact, efficient, and distilled version of Realistic Vision 4.0 and is up to 80% faster than SD1.5",
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"extras": "width: 512, height: 512, sampler: Default, cfg_scale: 9.0",
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"size": 0.99,
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"date": "2023 July"
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},
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"Boogu Image 0.1 Edit Turbo": {
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"path": "Boogu/Boogu-Image-0.1-Edit-Turbo",
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"preview": "Boogu--Boogu-Image-0.1-Edit-Turbo.jpg",
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"desc": "Boogu Image 0.1 Edit Turbo is the distilled editing variant of Boogu Image with motion-aware instruction encoding and fast flow-match inference.",
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"size": 35.81,
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"date": "2026 June"
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"Segmind SSD-1B": {
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"path": "huggingface/segmind/SSD-1B",
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"preview": "segmind--SSD-1B.jpg",
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"desc": "The Segmind Stable Diffusion Model (SSD-1B) offers a compact, efficient, and distilled version of the SDXL model. At 50% smaller and 60% faster than Stable Diffusion XL (SDXL), it provides quick and seamless performance without sacrificing image quality.",
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"variant": "fp16",
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"extras": "sampler: Default, cfg_scale: 9.0",
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"size": 12.48,
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"date": "2023 October"
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},
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"StabilityAI StableDiffusion XL Turbo": {
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"path": "stabilityai/sdxl-turbo",
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@@ -22,13 +25,21 @@
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"size": 19.38,
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"date": "2023 November"
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},
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"Krea 2 Turbo": {
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"path": "CalamitousFelicitousness/Krea-2-Turbo-Diffusers",
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"preview": "CalamitousFelicitousness--Krea-2-Turbo-Diffusers.jpg",
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"desc": "Krea 2 (K2) Turbo is the 8-step distilled inference model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. Runs without classifier-free guidance; LoRAs trained on Krea 2 Base apply directly.",
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 8",
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"size": 33.5,
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"date": "2026 June"
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"Tencent HunyuanDiT 1.1 Distilled": {
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"path": "Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled",
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"desc": "Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.",
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"preview": "Tencent-Hunyuan--HunyuanDiT-v1.1-Diffusers-Distilled.jpg",
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"extras": "sampler: Default, cfg_scale: 2.0",
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"size": 13.49,
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"date": "2024 June"
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},
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"Tencent HunyuanDiT 1.2 Distilled": {
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"path": "Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled",
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"desc": "Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.",
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"preview": "Tencent-Hunyuan--HunyuanDiT-v1.2-Diffusers-Distilled.jpg",
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"extras": "sampler: Default, cfg_scale: 2.0",
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"size": 13.43,
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"date": "2024 July"
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},
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"StabilityAI Stable Diffusion 3.5 Turbo": {
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"path": "stabilityai/stable-diffusion-3.5-large-turbo",
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@@ -39,28 +50,12 @@
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"size": 36.12,
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"date": "2024 October"
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},
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"Microsoft Lens Turbo": {
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"path": "Jinstudio/Lens-Turbo",
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"preview": "microsoft--Lens-Turbo.jpg",
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"desc": "Microsoft Lens-Turbo is the distilled Lens variant optimized for faster text-to-image generation with fewer steps.",
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"size": 28.43,
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"date": "2026 May"
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},
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"Tencent FLUX.1 Dev SRPO": {
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"path": "vladmandic/flux.1-dev-SRPO",
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"preview": "vladmandic--flux.1-dev-SRPO.jpg",
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"desc": "FLUX.1 Dev SRPO is Tencent trained with specific technique: Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference",
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"extras": "sampler: Default, cfg_scale: 4.5",
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"size": 31.42,
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"date": "2025 September"
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},
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"HiDream-O1 Image Dev": {
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"path": "HiDream-ai/HiDream-O1-Image-Dev",
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"preview": "HiDream-ai--HiDream-O1-Image-Dev.jpg",
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"desc": "HiDream-O1-Image-Dev is the distilled 8B HiDream-O1 variant tuned for 28-step fast generation using flash flow scheduling.",
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"extras": "sampler: Flash, steps: 28, cfg_scale: 0.0",
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"size": 35.2,
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"date": "2026 May"
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"NVLabs Sana 1.5 1.6B 1k Sprint": {
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"path": "Efficient-Large-Model/Sana_Sprint_1.6B_1024px_diffusers",
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"desc": "SANA-Sprint is an ultra-efficient diffusion model for text-to-image (T2I) generation, reducing inference steps from 20 to 1-4 while achieving state-of-the-art performance.",
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"preview": "Efficient-Large-Model--Sana15_Sprint_1600M_1024px_diffusers.jpg",
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"size": 9.03,
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"date": "2025 March"
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},
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"Qwen-Image-Lightning": {
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"path": "vladmandic/Qwen-Lightning",
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@@ -78,13 +73,20 @@
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"size": 56.1,
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"date": "2025 August"
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},
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"Baidu ERNIE-Image-Turbo": {
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"path": "baidu/ERNIE-Image-Turbo",
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"preview": "baidu--ERNIE-Image-Turbo.jpg",
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"desc": "ERNIE-Image-Turbo is a distilled ERNIE-Image variant optimized for fast generation with fewer denoising steps.",
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 8",
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"size": 22.29,
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"date": "2026 April"
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"lodestones Chroma1 Flash": {
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"path": "lodestones/Chroma1-Flash",
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"preview": "lodestones--Chroma1-Flash.jpg",
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"desc": "Chroma is a 8.9B parameter model based on FLUX.1-schnell. It’s fully Apache 2.0 licensed, ensuring that anyone can use, modify, and build on top of it—no corporate gatekeeping. A fine-tuned version of the Chroma1-Base made to find the best way to make these flow matching models faster.",
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"size": 25.6,
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"date": "2025 August"
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},
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"Tencent FLUX.1 Dev SRPO": {
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"path": "vladmandic/flux.1-dev-SRPO",
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"preview": "vladmandic--flux.1-dev-SRPO.jpg",
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"desc": "FLUX.1 Dev SRPO is Tencent trained with specific technique: Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference",
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"extras": "sampler: Default, cfg_scale: 4.5",
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"size": 31.42,
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"date": "2025 September"
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},
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"Qwen-Image-Lightning-Edit": {
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"path": "vladmandic/Qwen-Lightning-Edit",
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@@ -110,6 +112,13 @@
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"date": "2025 September",
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"size": 41.08
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},
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"Tencent HunyuanImage 2.1 Distilled": {
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"path": "hunyuanvideo-community/HunyuanImage-2.1-Distilled-Diffusers",
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"desc": "HunyuanImage-2.1, a highly efficient text-to-image model that is capable of generating 2K (2048 × 2048) resolution images.",
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"preview": "hunyuanvideo-community--HunyuanImage-2.1-Distilled-Diffusers.jpg",
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"size": 49.53,
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"date": "2025 September"
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},
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"Qwen-Image-Edit-2509 Pruning-13B": {
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"path": "OPPOer/Qwen-Image-Edit-2509-Pruning",
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"subfolder": "Qwen-Image-Edit-2509-13B-4steps",
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@@ -118,51 +127,6 @@
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"date": "2025 October",
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"size": 42.34
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},
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"lodestones Chroma1 Flash": {
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"path": "lodestones/Chroma1-Flash",
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"preview": "lodestones--Chroma1-Flash.jpg",
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"desc": "Chroma is a 8.9B parameter model based on FLUX.1-schnell. It’s fully Apache 2.0 licensed, ensuring that anyone can use, modify, and build on top of it—no corporate gatekeeping. A fine-tuned version of the Chroma1-Base made to find the best way to make these flow matching models faster.",
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"size": 25.6,
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"date": "2025 August"
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},
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"SDXL Flash Mini": {
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"path": "SDXL-Flash_Mini.safetensors@https://huggingface.co/sd-community/sdxl-flash-mini/resolve/main/SDXL-Flash_Mini.safetensors?download=true",
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"preview": "SDXL-Flash_Mini.jpg",
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"desc": "Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher.",
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"extras": "sampler: DEIS, steps: 40, cfg_scale: 6.0",
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"experimental": true
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},
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"NVLabs Sana 1.5 1.6B 1k Sprint": {
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"path": "Efficient-Large-Model/Sana_Sprint_1.6B_1024px_diffusers",
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"desc": "SANA-Sprint is an ultra-efficient diffusion model for text-to-image (T2I) generation, reducing inference steps from 20 to 1-4 while achieving state-of-the-art performance.",
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"preview": "Efficient-Large-Model--Sana15_Sprint_1600M_1024px_diffusers.jpg",
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"size": 9.03,
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"date": "2025 March"
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},
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"Segmind SSD-1B": {
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"path": "huggingface/segmind/SSD-1B",
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"preview": "segmind--SSD-1B.jpg",
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"desc": "The Segmind Stable Diffusion Model (SSD-1B) offers a compact, efficient, and distilled version of the SDXL model. At 50% smaller and 60% faster than Stable Diffusion XL (SDXL), it provides quick and seamless performance without sacrificing image quality.",
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"variant": "fp16",
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"extras": "sampler: Default, cfg_scale: 9.0",
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"size": 12.48,
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"date": "2023 October"
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},
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"Segmind Tiny": {
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"path": "segmind/tiny-sd",
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"preview": "segmind--tiny-sd.jpg",
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"desc": "Segmind's Tiny-SD offers a compact, efficient, and distilled version of Realistic Vision 4.0 and is up to 80% faster than SD1.5",
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"extras": "width: 512, height: 512, sampler: Default, cfg_scale: 9.0",
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"size": 0.99,
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"date": "2023 July"
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},
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"Tencent HunyuanImage 2.1 Distilled": {
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"path": "hunyuanvideo-community/HunyuanImage-2.1-Distilled-Diffusers",
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"desc": "HunyuanImage-2.1, a highly efficient text-to-image model that is capable of generating 2K (2048 × 2048) resolution images.",
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"preview": "hunyuanvideo-community--HunyuanImage-2.1-Distilled-Diffusers.jpg",
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"size": 49.53,
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"date": "2025 September"
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},
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"Bria Fibo-Lite": {
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"path": "briaai/Fibo-lite",
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"preview": "briaai--Fibo-lite.jpg",
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@@ -171,22 +135,6 @@
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"size": 22.47,
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"date": "2025 November"
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},
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"Tencent HunyuanDiT 1.2 Distilled": {
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"path": "Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled",
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"desc": "Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.",
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"preview": "Tencent-Hunyuan--HunyuanDiT-v1.2-Diffusers-Distilled.jpg",
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"extras": "sampler: Default, cfg_scale: 2.0",
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"size": 13.43,
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"date": "2024 July"
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},
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"Tencent HunyuanDiT 1.1 Distilled": {
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"path": "Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled",
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"desc": "Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.",
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"preview": "Tencent-Hunyuan--HunyuanDiT-v1.1-Diffusers-Distilled.jpg",
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"extras": "sampler: Default, cfg_scale: 2.0",
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"size": 13.49,
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"date": "2024 June"
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},
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"Black Forest Labs FLUX.2 Klein 4B": {
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"path": "black-forest-labs/FLUX.2-klein-4B",
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"preview": "black-forest-labs--FLUX.2-klein-4B.jpg",
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@@ -203,6 +151,13 @@
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"size": 32.32,
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"date": "2026 January"
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},
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"Meituan LongCat Image-Edit Turbo": {
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"path": "meituan-longcat/LongCat-Image-Edit-Turbo",
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"preview": "meituan-longcat--LongCat-Image-Edit.jpg",
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"desc": "LongCat-Image-Edit-Turbo, the distilled version of LongCat-Image-Edit. It achieves high-quality image editing with only 8 NFEs (Number of Function Evaluations) , offering extremely low inference latency.",
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"size": 27.28,
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"date": "2026 February"
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},
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"Black Forest Labs FLUX.2 Klein 9B KV": {
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"path": "black-forest-labs/FLUX.2-klein-9b-kv",
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"preview": "black-forest-labs--FLUX.2-klein-9b-kv.jpg",
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@@ -211,6 +166,51 @@
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"size": 32.32,
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"date": "2026 March"
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},
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"Baidu ERNIE-Image-Turbo": {
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"path": "baidu/ERNIE-Image-Turbo",
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"preview": "baidu--ERNIE-Image-Turbo.jpg",
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"desc": "ERNIE-Image-Turbo is a distilled ERNIE-Image variant optimized for fast generation with fewer denoising steps.",
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 8",
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"size": 22.29,
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"date": "2026 April"
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},
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"Microsoft Lens Turbo": {
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"path": "Jinstudio/Lens-Turbo",
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"preview": "microsoft--Lens-Turbo.jpg",
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"desc": "Microsoft Lens-Turbo is the distilled Lens variant optimized for faster text-to-image generation with fewer steps.",
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"size": 28.43,
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"date": "2026 May"
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},
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"HiDream-O1 Image Dev": {
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"path": "HiDream-ai/HiDream-O1-Image-Dev",
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"preview": "HiDream-ai--HiDream-O1-Image-Dev.jpg",
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"desc": "HiDream-O1-Image-Dev is the distilled 8B HiDream-O1 variant tuned for 28-step fast generation using flash flow scheduling.",
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"extras": "sampler: Flash, steps: 28, cfg_scale: 0.0",
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"size": 35.2,
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"date": "2026 May"
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},
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"Krea 2 Turbo": {
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"path": "CalamitousFelicitousness/Krea-2-Turbo-Diffusers",
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"preview": "CalamitousFelicitousness--Krea-2-Turbo-Diffusers.jpg",
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"desc": "Krea 2 (K2) Turbo is the 8-step distilled inference model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. Runs without classifier-free guidance; LoRAs trained on Krea 2 Base apply directly.",
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 8",
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"size": 33.5,
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"date": "2026 June"
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},
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"Boogu Image 0.1 Turbo": {
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"path": "Boogu/Boogu-Image-0.1-Turbo",
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"preview": "Boogu--Boogu-Image-0.1-Turbo.jpg",
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"desc": "Boogu Image 0.1 Turbo is the distilled fast inference variant of Boogu Image with the same Qwen3-VL instruction encoder and Boogu transformer architecture.",
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"size": 35.81,
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"date": "2026 June"
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},
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"Boogu Image 0.1 Edit Turbo": {
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"path": "Boogu/Boogu-Image-0.1-Edit-Turbo",
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"preview": "Boogu--Boogu-Image-0.1-Edit-Turbo.jpg",
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"desc": "Boogu Image 0.1 Edit Turbo is the distilled editing variant of Boogu Image with motion-aware instruction encoding and fast flow-match inference.",
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"size": 35.81,
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"date": "2026 June"
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},
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"Anima 1.0 Turbo": {
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"path": "CalamitousFelicitousness/Anima-1.0-Turbo-Diffusers",
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"preview": "CalamitousFelicitousness--Anima-1.0-Turbo-Diffusers.jpg",
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@@ -219,13 +219,6 @@
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"date": "2026 July",
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"size": 4.99
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},
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"Meituan LongCat Image-Edit Turbo": {
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"path": "meituan-longcat/LongCat-Image-Edit-Turbo",
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"preview": "meituan-longcat--LongCat-Image-Edit.jpg",
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"desc": "LongCat-Image-Edit-Turbo, the distilled version of LongCat-Image-Edit. It achieves high-quality image editing with only 8 NFEs (Number of Function Evaluations) , offering extremely low inference latency.",
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"size": 27.28,
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"date": "2026 February"
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},
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"Microsoft Mage-Flow Turbo": {
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"path": "vladmandic/Mage-Flow-4B-Turbo",
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"preview": "vladmandic--Mage-Flow-Turbo-4B.jpg",
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@@ -257,5 +250,19 @@
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"extras": "sampler: Default",
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"size": 17.69,
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"date": "2026 July"
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},
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"inclusionAI LLaDA-Image Turbo": {
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"path": "inclusionAI/LLaDA-Image-Turbo",
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"desc": "LLaDA-Image-Turbo is the distilled fast-generation and editing variant of LLaDA-Image.",
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"extras": "steps: 4, cfg_scale: 1.0",
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"size": 37.15,
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"date": "2026 September"
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},
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"SDXL Flash Mini": {
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"path": "SDXL-Flash_Mini.safetensors@https://huggingface.co/sd-community/sdxl-flash-mini/resolve/main/SDXL-Flash_Mini.safetensors?download=true",
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"preview": "SDXL-Flash_Mini.jpg",
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"desc": "Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher.",
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"extras": "sampler: DEIS, steps: 40, cfg_scale: 6.0",
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"experimental": true
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}
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}
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