Realistic_Vision_V2.0

Maintainer: SG161222

Total Score

313

Last updated 5/28/2024

📈

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Get summaries of the top AI models delivered straight to your inbox:

Model overview

The Realistic_Vision_V2.0 model, created by SG161222, is an advanced text-to-image generation model designed to produce highly realistic and photorealistic images. It builds upon the previous version, Realistic_Vision_V1.4, and introduces several improvements to enhance the generation quality and reduce artifacts.

The model is available on Mage.Space, which is the main sponsor, and the creator encourages users to support them directly on Boosty. For best results, it is recommended to use the model in conjunction with the stabilityai/sd-vae-ft-mse-original VAE model.

Model inputs and outputs

Inputs

  • Prompt: A detailed text description of the desired image, including subjects, settings, and photographic details.
  • Negative Prompt: A text description of elements to be avoided or minimized in the generated image, such as specific visual artifacts or undesirable features.
  • Generation Parameters: Various settings that control the sampling method, configuration scale, and upscaling process.

Outputs

  • Image: A high-quality, photorealistic image generated based on the provided prompt and parameters.

Capabilities

The Realistic_Vision_V2.0 model excels at generating detailed, realistic portraits and scenes. It can capture a wide range of subjects, from close-up faces to full-body figures, with a focus on accurate skin textures, lighting, and environmental elements. The model's ability to handle complex prompts and generate high-resolution outputs makes it a powerful tool for various creative applications, such as concept art, product visualization, and photorealistic illustration.

What can I use it for?

The Realistic_Vision_V2.0 model can be a valuable asset for artists, designers, and content creators who need to generate high-quality, photorealistic images. It can be used for tasks such as creating concept art for games or films, designing product visualizations, and generating realistic illustrations for marketing or editorial purposes. The model's versatility also makes it suitable for personal projects, such as creating unique digital art or enhancing existing photographs.

Things to try

One interesting aspect of the Realistic_Vision_V2.0 model is its ability to handle detailed photographic prompts. By incorporating specific camera settings, lighting conditions, and film grain, users can achieve a unique, cinematic look in their generated images. Experimenting with different combinations of these elements can lead to a wide range of photorealistic outcomes, allowing for a diverse range of creative expression.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

Related Models

💬

Realistic_Vision_V1.4

SG161222

Total Score

338

Realistic_Vision_V1.4 is an AI image generation model created by SG161222. It is designed to produce highly detailed and photorealistic images. The model is part of a series of Realistic Vision models, with related versions like Realistic_Vision_V5.1_noVAE, RealVisXL_V2.0, and Realistic_Vision_V6.0_B1_noVAE. These models aim to push the boundaries of photorealism in AI-generated imagery. Model inputs and outputs Realistic_Vision_V1.4 is an image-to-image model that takes textual prompts as input and generates corresponding images as output. The model is designed to excel at producing high-quality, detailed portraits and scenes with a focus on realism. Inputs Detailed textual prompts describing the desired image, including specifics like lighting, camera settings, and post-processing techniques Optional modifiers like (high detailed skin:1.2) to fine-tune the generation Outputs Photorealistic images at resolutions up to 8K, with a focus on film-like quality and natural-looking elements The model can generate a wide range of subject matter, from close-up portraits to full-body scenes in various settings Capabilities Realistic_Vision_V1.4 is capable of producing highly detailed and visually striking images that closely resemble real-world photography. The model excels at generating realistic skin textures, natural lighting, and believable settings. By incorporating techniques like film grain and specific camera parameters, the images have a distinctive, cinematic quality. What can I use it for? Realistic_Vision_V1.4 can be a valuable tool for a variety of creative projects, such as concept art, product visualizations, and digital art commissions. Its ability to generate photorealistic imagery makes it well-suited for use in areas like advertising, film/TV production, and game development. The model's versatility allows for the creation of a wide range of scenes and characters, making it a powerful resource for artists and creators. Things to try One interesting aspect of Realistic_Vision_V1.4 is its sensitivity to certain prompts. The maintainer notes that using the term "RAW photo" in the prompt may degrade the generation results. Experimenting with different prompts and prompt modifiers can help users find the optimal approach to achieve their desired outputs. Additionally, leveraging the model's capabilities in conjunction with other AI tools, such as the recommended VAE model, can further enhance the quality and consistency of the generated images.

Read more

Updated Invalid Date

🎲

Realistic_Vision_V4.0_noVAE

SG161222

Total Score

92

The Realistic_Vision_V4.0_noVAE model, created by SG161222, is a text-to-image AI model designed to generate high-quality, realistic images. This model builds upon previous versions like Realistic_Vision_V3.0_VAE and Realistic_Vision_V5.1_noVAE, with improvements in generation quality and reduced artifacts. Model inputs and outputs The Realistic_Vision_V4.0_noVAE model takes textual prompts as input and generates corresponding images as output. The input prompts can describe a wide range of subjects, scenes, and styles, and the model is capable of producing high-resolution, photorealistic images in response. Inputs Textual prompts describing the desired image, including details about the subject, scene, and style Outputs High-resolution, photorealistic images generated based on the input prompt Capabilities The Realistic_Vision_V4.0_noVAE model excels at generating detailed, realistic images across a variety of subject matter, from portraits to landscapes to sci-fi scenes. The model's ability to capture fine details and textures, as well as its handling of complex lighting and color, make it a powerful tool for creators and artists. What can I use it for? The Realistic_Vision_V4.0_noVAE model can be used for a wide range of applications, from conceptual art and product visualization to illustration and marketing materials. Its photorealistic output can be particularly useful for projects that require high-quality, custom imagery, such as album covers, book illustrations, or advertising campaigns. Things to try Experiment with the model's handling of different prompts, focusing on specific details or styles. Try generating images with varying levels of realism, from hyper-detailed to more stylized. Explore the use of the recommended negative prompts to refine and improve the output.

Read more

Updated Invalid Date

🤖

Realistic_Vision_V5.1_noVAE

SG161222

Total Score

144

The Realistic_Vision_V5.1_noVAE model is a text-to-image AI model created by maintainer SG161222. It is designed to generate realistic and photorealistic images based on textual descriptions. The model is available on Mage.Space, which is the main sponsor, and the maintainer can be supported directly on Boosty. The model is part of a series of Realistic Vision models, with the latest version being Realistic_Vision_V6.0_B1_noVAE. These models aim to improve on realism and photorealism, with the V6.0 version offering increased generation resolutions and improvements to the SFW and NSFW capabilities for female anatomy. The model can be used in conjunction with the SD-VAE-FT-MSE-ORIGINAL VAE model to improve the quality of the generated images and reduce artifacts. Model inputs and outputs Inputs Textual descriptions or prompts that describe the desired image Outputs Realistic and photorealistic images generated based on the input text Capabilities The Realistic_Vision_V5.1_noVAE model is capable of generating a wide range of realistic and photorealistic images, including portraits, full-body figures, and scenes. The model can handle a variety of subjects, from people to landscapes and more. The maintainer provides example images showcasing the model's capabilities, including a woman playing the piano, a girl in an alley, and a woman holding a camera in an autumnal setting. What can I use it for? The Realistic_Vision_V5.1_noVAE model can be a valuable tool for a variety of applications, such as: Creating illustrations and concept art for books, games, or other media Generating realistic product images for e-commerce or marketing purposes Producing personalized artwork or portraits Visualizing ideas or concepts that are difficult to describe with words By leveraging the model's capabilities, users can efficiently create high-quality, realistic images to support their projects or business needs. Things to try One interesting aspect of the Realistic_Vision_V5.1_noVAE model is the recommended negative prompt, which includes a detailed list of elements to avoid, such as deformed irises, mutated hands, and poor anatomy. By carefully crafting the negative prompt, users can fine-tune the model's output to better suit their desired aesthetic or avoid unwanted artifacts. Additionally, the model offers flexibility in terms of generation parameters, allowing users to experiment with different sampling methods, CFG scales, and Hires.Fix settings to optimize the results for their specific needs. Exploring these options can help users unlock the full potential of the Realistic_Vision_V5.1_noVAE model.

Read more

Updated Invalid Date

🔮

Realistic_Vision_V3.0_VAE

SG161222

Total Score

82

The Realistic_Vision_V3.0_VAE model is an AI image generation model created by SG161222, available on the Mage.Space platform. It is designed to produce high-quality, photorealistic images with a focus on realism and detail. The model includes a built-in Variational Autoencoder (VAE) to improve generation quality and reduce artifacts. The Realistic_Vision_V3.0_VAE model is part of a series of "Realistic Vision" models developed by SG161222, with similar models like Realistic_Vision_V5.1_noVAE, Realistic_Vision_V2.0, Paragon_V1.0, and Realistic_Vision_V6.0_B1_noVAE also available. Model inputs and outputs The Realistic_Vision_V3.0_VAE model takes in text prompts as input and generates high-quality, photorealistic images as output. The model is capable of producing a wide range of subjects and scenes, from portraits and close-up shots to full-body figures and complex backgrounds. Inputs Text prompts that describe the desired image, including details like subject, setting, and visual style Outputs High-resolution, photorealistic images (up to 8K resolution) Images with a focus on realism, detail, and visual quality Capabilities The Realistic_Vision_V3.0_VAE model excels at generating realistic, detailed images with a strong focus on photorealism. It can handle a wide range of subject matter, from portraits and close-up shots to full-body figures and complex backgrounds. The inclusion of the VAE component helps to improve the overall quality of the generated images and reduce artifacts. What can I use it for? The Realistic_Vision_V3.0_VAE model can be used for a variety of applications, such as creating high-quality stock images, concept art, and illustrations for various projects. It could also be used to generate realistic images for use in films, video games, or other visual media. Additionally, the model's capabilities could be leveraged by companies looking to create realistic product visualizations or marketing materials. Things to try One interesting aspect of the Realistic_Vision_V3.0_VAE model is its ability to handle detailed prompts and generate images with a high level of realism. Experimenting with prompts that include specific details, such as lighting conditions, camera settings, and visual styles, can help unlock the full potential of the model and produce even more striking and realistic results.

Read more

Updated Invalid Date