@@ -62,23 +62,32 @@ Mine StableDiffusion is a **native, offline-first AI art generation app** that b
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65- ## π² Supported Models
66-
67- Mine StableDiffusion supports a wide range of state-of-the-art generative models:
68-
69- ### π₯ Popular Models
70- - β
** [ FLUX.1-dev / FLUX.1-schnell] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/flux.md ) ** - Next-gen image generation
71- - β
** [ FLUX.2-dev] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/flux.md ) ** - Latest FLUX iteration
72- - β
** [ SDXL / SDXL-Turbo] ( https://huggingface.co/stabilityai/sdxl-turbo ) ** - High-quality 1024x1024 images
73- - β
** [ SD3 / SD3.5] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/sd3.md ) ** - Stability AI's latest architecture
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** SD1.x / SD2.x** - Classic Stable Diffusion models
75- - β
** [ SD-Turbo] ( https://huggingface.co/stabilityai/sd-turbo ) ** - Lightning-fast generation
76-
77- ### π Specialized Models
78- - π¨ ** [ Chroma] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/chroma.md ) / [ Chroma1-Radiance] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/chroma_radiance.md ) ** - Vibrant color generation
79- - πΌοΈ ** [ Z-Image] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/z_image.md ) ** - Advanced image synthesis
80- - π§ ** [ Qwen Image] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/qwen_image.md ) ** - Alibaba's multimodal model
81- - ποΈ ** [ Ovis-Image] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/ovis_image.md ) ** - Vision-language model
65+ ## π² Supported Models & Performance Tiers
66+
67+ Mine StableDiffusion supports a wide range of models. To help you choose the best model for your device, we've organized them by performance requirements:
68+
69+ ### οΏ½ Entry & Speed (Fastest, Minimal VRAM)
70+ _ Ideal for older phones or integrated graphics. High speed, low memory usage._
71+ - β
** [ SD-Turbo] ( https://huggingface.co/stabilityai/sd-turbo ) ** - Extremely fast 1-step generation
72+ - β
** SD1.x / SD2.x** - Classic Stable Diffusion models (Very efficient)
73+ - β
** π¨ [ Chroma] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/chroma.md ) / [ Chroma1-Radiance] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/chroma_radiance.md ) ** - Vibrant color generation
74+
75+ ### βοΈ Balanced Performance (Standard Quality)
76+ _ Good balance between quality and speed. Works well on most modern devices._
77+ - β
** [ SDXL-Turbo] ( https://huggingface.co/stabilityai/sdxl-turbo ) ** - Fast high-quality 512x512 to 1024x1024 images
78+ - β
** πΌοΈ [ Z-Image] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/z_image.md ) ** - Advanced image synthesis
79+ - β
** π§ [ Qwen Image] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/qwen_image.md ) ** - Alibaba's multimodal model
80+
81+ ### π Professional Quality (High Requirements)
82+ _ Best for high-detail 1024x1024+ generation. Requires more VRAM and time._
83+ - β
** [ SDXL] ( https://huggingface.co/stabilityai/sdxl-turbo ) ** - Standard high-quality base model
84+ - β
** [ SD3 / SD3.5] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/sd3.md ) ** - Stability AI's latest high-fidelity architecture
85+ - β
** ποΈ [ Ovis-Image] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/ovis_image.md ) ** - Vision-language model
86+
87+ ### π Next-Gen Large Models (Flagship & High-End PC)
88+ _ State-of-the-art models with massive parameter counts. Best for flagship phones or dedicated GPUs._
89+ - β
** [ FLUX.1-schnell / dev] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/flux.md ) ** - Next-gen image quality
90+ - β
** [ FLUX.2-dev] ( https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/flux.md ) ** - Latest and most capable iteration
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8392> [ !TIP]
8493> For model-specific documentation, check the [ docs] ( ./docs ) folder
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