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1. What‘s the meaning of SD, SDXL, Pony, Flux.1S, lux .1 D？
I remember back in 2023, when I was using Stable Diffusion WebUI to generate images, there were basically only two types of models to download from the civitai models marketplaces: mainly SD, and a few SDXL.
Now, things have changed dramatically. New types like Pony, Flux, SVD, and Wan Video have emerged. This can often be confusing. Too many choices also mean it’s hard to know what to choose. So, I’ve put together a table here for everyone’s reference.
| Model Name | Type/Base Model | Key Features | Advantages | Disadvantages | Use Cases |
|---|---|---|---|---|---|
| Stable Diffusion Series | |||||
| SD1.4 | Text-to-Image | Early version, lower resolution | Early popularity, rich community resources | Relatively poor image quality and detail, outdated | Learning and researching early diffusion models |
| SD1.5 | Text-to-Image | Widely used base model, 512px native resolution | Most extensive community support, abundant models and LoRA resources, relatively low hardware requirements | Image quality and resolution are lower than SDXL, requires Hires Fix or ADetailer for better detail | General image generation, artistic creation, LoRA fine-tuning |
| SD1.5 LCM | SD1.5 Acceleration | Accelerated version of SD1.5 based on LCM (Latent Consistency Model) | Significantly reduces generation steps, speeds up generation | Image quality might slightly decrease | Scenarios requiring fast image generation |
| SD1.5 Hyper | SD1.5 Acceleration | Accelerated version of SD1.5 based on Hyper-SD technology | Efficiently generates high-quality images in 1-8 steps | Scenarios requiring fast generation of high-quality images | |
| SD2.0 | Text-to-Image | Successor to SD1.x | Improved image quality and diversity | Less community adoption than SD1.5, outdated | |
| SD2.1 | Text-to-Image | Improved version of SD2.0 | Further enhanced image quality | Less community adoption than SD1.5, outdated | |
| SDXL 1.0 | Text-to-Image | Successor to SD1.5, 1024px native resolution | Better detail, resolution, and prompt adherence | Fewer community resources than SD1.5 | High-quality image generation, complex scenes and detailed representation |
| SDXL Lightning | SDXL Acceleration | Fast generation model based on SDXL | Rapid image generation, improved efficiency | Scenarios requiring fast generation of high-quality images | |
| SDXL Hyper | SDXL Acceleration | Accelerated version of SDXL based on Hyper-SD technology | Efficiently generates high-quality images in 1-8 steps | Scenarios requiring fast generation of high-quality images with high quality demands | |
| SD3 | Text-to-Image | Latest generation Stable Diffusion model | Significantly improved prompt adherence, higher image quality | High-quality image generation, complex prompt understanding | |
| SD3.5 | Text-to-Image | Improved version of SD3 | Further enhanced image quality and prompt understanding | High-quality image generation, complex prompt understanding | |
| SD3.5 Medium | SD3.5 Variant | Medium version of SD3.5 | |||
| SD3.5 Large | SD3.5 Variant | Large version of SD3.5 | |||
| SD3.5 Large Turbo | SD3.5 Acceleration | Large accelerated version of SD3.5 | Extremely fast image generation | Scenarios requiring extremely fast generation of high-quality images | |
| Other Image Generation Models | |||||
| Pony | Text-to-Image | Trained on SDXL, but heavily modified | Unique style and generation capabilities | Poor compatibility with SDXL LoRAs | Specific artistic style creation |
| Flux.1S | Text-to-Image | “Schnell” is the German translation of “fast.” | Lightweight & fast edition, high-speed inference | Open source & commercial | |
| Flux .1 D | Text-to-Image | Dev， | High-precision generation (detail/prompt adherence) | requires large VRAM, Open source, non-commercial use | |
| Aura Flow | Text-to-Image | Brief community interest, then faded | |||
| PixArt-α | Text-to-Image | ||||
| PixArt-Σ | Text-to-Image | Brief community interest, then faded | |||
| Hunyuan 1 | Text-to-Image | Model developed by Tencent | |||
| Kolors | Text-to-Image | Brief community interest, then faded | |||
| Illustrious | Text-to-Image | Trained on SDXL, but heavily modified | Poor compatibility with SDXL LoRAs | Specific artistic style creation | |
| Mochi | Text-to-Video | Video generation | |||
| LTXV | Text-to-Video | Video generation | |||
| NoobAI | Text-to-Image | Trained on Illustrious | |||
| Video Generation Models | |||||
| SVD | Text-to-Video/Image-to-Video | Stable Video Diffusion, generates 14 frames of video from a single image | Video generation capabilities | Video creation, animation production | |
| CogVideoX | Text-to-Video | Video generation | |||
| Wan Video 1.3B t2v | Text-to-Video | 1.3B parameters, text-to-video | Low VRAM usage (8.19 GB VRAM), compatible with consumer-grade GPUs, fast generation | Video quality might be lower than larger models | Fast video generation on consumer hardware |
| Wan Video 14B t2v | Text-to-Video | 14B parameters, text-to-video | High-quality video generation, SOTA performance | Higher VRAM requirements | Professional video creation, requiring high-quality output |
| Wan Video 14B i2v 480p | Image-to-Video | 14B parameters, image-to-video, 480p resolution | High-quality image-to-video conversion | Image-to-video conversion, video editing | |
| Wan Video 14B i2v 720p | Image-to-Video | 14B parameters, image-to-video, 720p resolution | High-quality image-to-video conversion | Image-to-video conversion, video editing | |
| HiDream | Text-to-Video | Video generation | |||
| Lumina | Text-to-Image | 2 billion parameter flow-based diffusion transformer | Improved image quality, typography, complex prompt understanding, and resource efficiency | High-quality image generation, complex prompt processing |
2. How to select it when download base model？
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Image Quality and Detail: If you’re aiming for the highest quality and detail, SDXL 1.0 or the SD3 series are better choices. SD3 excels in prompt adherence
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Generation Speed: If you need to generate images quickly, consider accelerated models like SD1.5 LCM, SD1.5 Hyper, SDXL Lightning, or SDXL Hyper
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Hardware Requirements: SD1.5 has relatively lower hardware requirements, while SDXL and SD3 might require more powerful GPUs.
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Community Resources: SD1.5 boasts the largest community and model resources. If you enjoy experimenting with various LoRAs and fine-tuned models, SD1.5 might be a better fit for you
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Specific Styles: If you’re looking for a particular artistic style, you could try models like Pony or Illustrious, which have undergone significant modifications
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Video Generation: If your need is to generate videos, then SVD, Wan Video series, CogVideoX, Mochi, LTXV, and HiDream are the models you should focus on. The Wan Video series offers choices with different parameters and resolutions to suit various hardware and quality needs
3. About Pony
I know the Pony model series is currently surging in popularity, a fact decisively proven by its impressive download figures on civitai. This leads me to infer significant user interest in its capabilities.
Fitst what is the Pony model? Pony Diffusion v6 is a fine-tuned image generation model built upon the Stable Diffusion XL (SDXL) architecture. It adeptly handles both SFW (Safe For Work) and NSFW (Not Safe For Work) content generation, skillfully rendering subjects from humans and furry characters to cartoon personas.
And what’s the key advantage? Pony intelligently mitigates common image defects without requiring complex negative prompts. It can automatically avoid common defects，for example, it could perfectly generates five fingers and toes. Achieving such perfection in finger generation remains a significant challenge for many other models.
So if you are using Stable Diffusion WebUI and ComfyUI to create specific content, such as clothing models for e-commerce websites, which require normal human fingers, then the Pony model is highly recommended for you to try.