Best Stable Diffusion Models 2024: What, Where, and How to Download

Best Stable Diffusion Models: Each stable diffusion models is a set of algorithms that have been trained on a specific dataset.

That’s why if you want to create particular lifelike portraits or captivating digital landscapes, you should choose the right model from the vast list of Stable Diffusion models to effortlessly bring your vision to life.

We know the quality and style of the images we generate with Stable Diffusion depend on the prompt and model we choose.

But navigating through the vast collection of models on Huggingface and Civitai, both of which have extensive databases, can be a time-consuming task.

To make this easier, I’ve compiled a list of the most updated stable diffusion models including their details, where to download, and how to install them.

Best Stable Diffusion Models 2024

If you’re short on time, you can find your desired model in the table below. We’ve highlighted the best objective of each model and provided their uploaded date.

For more details and download links of each model, simply scroll down the page.

Note: A Civitai account is required to access certain models mentioned in this article, as they may contain NSFW (Not Safe for Work).

Best Stable Diffusion Models for Photorealistic

Now it’s time to delve into the detailed overview and user reviews of each of the models according to their use cases.

1. Realistic Vision V3.0

Features:

• The Realistic Vision V3.0 model excels in generating photorealistic images.
• In addition to photorealism, it incorporates CGI (Computer-Generated Imagery) rendering capabilities.
• It offers the option of semirealistic rendering. This feature allows you to adjust the level of realism in the generated images, striking a balance between photorealism and stylized representation.
• The model offers different versions and variants to cater to various user preferences and requirements.

2. Dreamshaper – V7

DreamShaper – V7 has shown remarkable advancements in its ability to handle Character LoRA, ensuring an even smoother and more seamless experience for users.

Users love the model for its outstanding performance, versatility, and breathtaking output. It has gained a dedicated following within the community, becoming a top choice for all kinds of creative projects.

3. epiCRealism

Features:

• It focuses on generating photorealistic images with an emphasis on female subjects and analog realism.
• The model claims to have undergone refinement in terms of understanding prompts, generating realistic hands, and overall photorealism.
• It is described as the final version for now, as the developer has put a lot of effort into it and may not be able to make significant changes in the future.

Stable Diffusion Models for Anime Art

4. Kenshi

Features:

• The Kenshi model is focused on generating anime-style images.
• It includes tags and references to popular artists such as BOCHEN, NIXEU, GUWEIZ, and WLOP.
• The model is available in multiple versions, including 01 and 00.
• The checkpoint includes a VAE (Variational Autoencoder) that needs to be downloaded and placed alongside the checkpoint for proper functioning.

5. Flat-2D Animerge

Standout Features:

• The model is a merge of random anime-based and cartoon-based models to achieve a cartoony anime style.
• It aims to generate images that resemble the art style seen in anime, rather than focusing on hyper-detailed anime models.
• The latest version, v3.0, includes custom training to further enhance the style and improve performance.
• It offers a cleaner line style, better colors at lower CFG scales, and a more consistently hand-drawn look.

6. Counterfeit-V2.5 2.5d tweak

Standout Features:

• The model aims to achieve a similar effect to Orangemix by adjusting the U-NET, a type of neural network architecture.
• The model provides instructions on how to use it, including the requirement of the EasyNegative pt file and the 840,000 VAE (Variational Autoencoder).
• It suggests using fewer negative tags but recommends including negative tags specifically related to fingers, toes, and hands.

Stable Diffusion Models for NSFW

7. AbsoluteReality

Features:

• The AbsoluteReality model is available in multiple versions, including v1.6, v1.6-INPAINTING, v1.6 diffusers, v1, and v1-INPAINTING.
• It offers various categories of image generation, such as landscapes, photorealistic images, portraits, hyperrealistic character portraits, and photography.
• It supports quick face alteration examples using celebrity names and mixing them.
• It is compatible with anime character LoRA and is better at handling NSFW (Not Safe for Work) content compared to the previous version.

Stable Diffusion Models for Architecture

8. XSarchitectural-6Modern small building

Features:

• The model specializes in architectural design and is focused on modern small buildings.
• It can generate visuals depicting black concrete and Corten’s modern minimalist villas.
• The model is trained to incorporate artificial lighting and create scenes with an ultra-wide-angle and depth-of-field effect.
• SafeTensor: The model is built on SafeTensor technology, ensuring safety and reliability in the generated content.

Also Read: A Complete Best Leonardo AI Prompts Guide

How to Install Stable Diffusion Models

As we see models of different categories for stable diffusion checkpoint, now if you don’t know how to install the models. Then below are the steps:

Before the installation process starts, make sure you have downloaded the model from HuggingFace or from our provided link. While downloading, ensure to choose the safe tensor file if available. Now…

1. Locate the Downloaded Files: Once the models are downloaded, navigate to your downloads directory on your computer.

2. Install the Models: Find the installation directory of the software you’re using to work with stable diffusion models.

3. Copy the Model Files: Copy the downloaded model files from the downloads directory and paste them into the “models” directory of the software.

4. Access the Installed Models: Launch the software, such as Invoke AI, and open the model manager or a similar feature. Look for an option to add a new model or load an existing one. Specify the path or directory where you pasted the model files.

5. Verify the Models: After adding the models, verify that they are successfully loaded in the software. They should appear in the list of available models.

6. Select and Generate: Choose the desired model from the dropdown menu in the software. Depending on the software’s interface, you may need to load the model into GPU memory.

Once the model is selected, you can start generating new images or performing other tasks based on that model.

FAQs

Disclaimer: The total number of downloads, ratings, and various other figures mentioned in this blog are subject to change even after the post has been published. It is important to keep in mind that these numbers are dynamic and may be updated over time.

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