PixelFlow allows you to use all these features
Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Segmented Creation Workflow
Gain greater control by dividing the creative process into distinct steps, refining each phase.
Customized Output
Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.
Layering Different Models
Integrate and utilize multiple models simultaneously, producing complex and polished creative results.
Workflow APIs
Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.
Realistic Vision v3
The Realistic Vision model is a state-of-the-art AI model based on Stable Diffusion 1.5 that is capable of creating super realistic portraits that look like real photos. It can generate portraits in different styles, ages, and clothing, and can even create people with specific clothing. The portraits created by the model are described as absolutely amazing and mind-blowing.
The Realistic Vision model operates on a stable diffusion framework and uses SD 1.5 as it's base model. Suggested schedulers are Euler A and DPM++ SDE Karras. It works best when you combine it with an upscaler like ESRGAN.
The Realistic Vision model is capable of creating realistic and modern pictures. The model is flexible with the prompts, allowing users to use square brackets and negative prompts. Although the images created using the model look great, the clothing in the photos may appear run-down, adding a touch of authenticity to the images.
Realistic Vision v3 use cases
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Creating realistic portraits for digital art.
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Generating diverse characters for video games or animations.
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Producing unique avatars for social media or virtual reality platforms.
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Designing fictional characters for books or graphic novels.
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Providing a tool for fashion designers to visualize different styles and outfits on various models.
Realistic Vision v3 license
The license for the Realistic Vision model, known as the "CreativeML Open RAIL-M" license, is designed to promote both open and responsible use of the model. You may add your own copyright statement to your modifications and provide additional or different license terms for your modifications. You are accountable for the output you generate using the model, and no use of the output can contravene any provision as stated in the license.
Other Popular Models
sdxl-img2img
SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers
storydiffusion
Story Diffusion turns your written narratives into stunning image sequences.
faceswap-v2
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
sdxl1.0-txt2img
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
