Realistic_Vision_V5.1_noVAE
Maintainer: SG161222
144
🤖
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
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.
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_V4.0_noVAE
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.
Updated Invalid Date
🔮
Realistic_Vision_V3.0_VAE
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.
Updated Invalid Date
📈
Realistic_Vision_V2.0
313
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.
Updated Invalid Date
🤖
Realistic_Vision_V6.0_B1_noVAE
153
Realistic_Vision_V6.0_B1_noVAE is an AI model created by SG161222 and is available on Mage.Space. It is part of the Realistic Vision model series, which aims to produce realistic and photorealistic images. This beta version introduces improvements in generation resolution, as well as better performance for SFW and NSFW images of female anatomy. Compared to similar models like realistic-vision-v6.0-b1, real-esrgan, realvisxl4, and gfpgan, this model focuses on improved photorealism and image quality. Model inputs and outputs Realistic_Vision_V6.0_B1_noVAE is an image-to-image model that can generate realistic and photorealistic images from input prompts. Inputs Text prompts describing the desired image Optional Hires.Fix parameters to improve image quality Outputs High-resolution photorealistic images in various aspect ratios, including: Face Portrait: 896x896 Portrait: 896x896, 768x1024 Half Body: 768x1024, 640x1152 Full Body: 896x896, 768x1024, 640x1152, 1024x768, 1152x640 Capabilities The model is capable of generating a wide range of photorealistic images, with a focus on female subjects and anatomy. It can produce detailed and realistic portraits, half-body, and full-body images. The inclusion of Hires.Fix can help further improve the quality and texture of the generated images. What can I use it for? Realistic_Vision_V6.0_B1_noVAE can be used for various applications that require high-quality, photorealistic images, such as: Generating realistic character designs or portraits for use in digital art, games, or films Creating photographic-style images for commercial, editorial, or personal projects Experimenting with different styles and compositions to inspire creative projects Things to try When using this model, it's recommended to experiment with different resolutions and Hires.Fix parameters to find the best balance between image quality and generation speed. Additionally, the negative prompt can be customized to avoid specific artifacts or styles that may not be desired.
Updated Invalid Date