Vetkastar
Models by this creator
fooocus
138
fooocus is an image generation model created by vetkastar. It is a rethinking of Stable Diffusion and Midjourney's designs, learning from their strengths while automating many inner optimizations and quality improvements. Users can focus on crafting prompts and exploring images, without needing to manually tweak technical parameters. Similar models include real-esrgan, which provides real-time super-resolution with optional face correction, and a suite of text-to-image models like kandinsky-2, deliberate-v6, reliberate-v3, and absolutereality-v1.8.1 that offer different capabilities and quality tradeoffs. Model inputs and outputs fooocus is a powerful image generation model that can create high-quality images from text prompts. It supports a range of inputs to customize the generation process, including parameters for prompt mixing, inpainting, outpainting, and more. Inputs Prompt**: The text prompt describing the desired image Negative prompt**: Textual descriptions to avoid in the generated image Image prompt**: Up to 4 input images that can be used to guide the generation process Inpaint input image and mask**: An image and mask to perform inpainting on Outpaint selections and distances**: Options to expand the output image in specific directions Various settings**: For adjusting image quality, sharpness, guidance scale, and more Outputs Generated image(s)**: The AI-created image(s) based on the provided inputs Seed(s)**: The random seed(s) used to generate the output image(s) Capabilities fooocus is capable of generating a wide variety of photorealistic and imaginative images from text prompts. It can handle complex compositions, diverse subjects, and creative stylistic choices. The model's automated optimizations and quality improvements help ensure the generated images are visually striking and coherent. What can I use it for? fooocus is a versatile model that can be used for a range of creative and practical applications. Some ideas include: Generating concept art, illustrations, and other visual assets for creative projects Producing custom stock images and visual content for commercial use Experimenting with digital art and exploring new creative directions Visualizing ideas and stories through AI-generated imagery Things to try With fooocus, you can let your imagination run wild and explore the boundaries of what's possible in AI-generated imagery. Try crafting prompts that blend genres, styles, and subjects in unexpected ways. Experiment with the model's inpainting and outpainting capabilities to expand and manipulate the generated images. The possibilities are endless!
Updated 9/19/2024
image_tune
1
image_tune is an AI model developed by vetkastar that applies various image effects and transformations to enhance and manipulate images. This model builds on similar models like fooocus, vtoonify, image-mixer, and rembg-enhance, each of which offer unique image manipulation capabilities. Model inputs and outputs image_tune takes an input image and applies a variety of effects to transform it. The model's inputs include parameters for adjusting brightness, contrast, saturation, temperature, and more. It also supports effects like vignette, glitch, and tilt-shift, as well as options for auto-adjusting color and sharpness. Inputs image_path**: The input image to be transformed brightness**: Adjust the brightness of the image contrast**: Adjust the contrast of the image saturation**: Adjust the saturation of the image temperature**: Adjust the temperature of the image auto_color_correction**: Apply automatic color correction auto_white_balance**: Apply automatic white balance auto_contrast**: Apply automatic contrast auto_sharpness**: Apply automatic sharpness sharpness**: Adjust the sharpness of the image vignette**: Apply a vignette effect blur**: Apply a blur effect noise**: Apply a noise effect chromatic_aberration**: Apply chromatic aberration exposure_offset**: Adjust the exposure offset rotate_degrees**: Rotate the image by a specified number of degrees tilt_shift**: Apply a tilt-shift effect ascii_effect**: Apply an ASCII art effect black_and_white**: Convert the image to black and white sepia**: Apply a sepia tone effect glitch**: Apply a glitch effect flip_image**: Flip the image horizontally Outputs Output**: The transformed image Capabilities image_tune can apply a wide range of image effects and transformations, allowing users to significantly modify the appearance and style of their images. It offers granular control over parameters like brightness, contrast, and saturation, as well as more creative effects like vignette, glitch, and tilt-shift. The model's ability to automatically adjust color, sharpness, and white balance can also be useful for enhancing image quality. What can I use it for? image_tune can be a valuable tool for a variety of creative and practical applications. Photographers and digital artists can use it to experiment with different visual styles and enhance their images. Marketers and content creators can leverage it to quickly apply consistent branding or mood-setting effects across their visual assets. The model's capabilities could also be useful for applications like image retouching, product photography, and even video post-production. Things to try One interesting aspect of image_tune is its ability to combine multiple effects to create unique and unexpected results. By experimenting with different parameter settings, users can discover unexpected visual transformations that could inspire new artistic directions or creative ideas. For example, combining glitch, vignette, and tilt-shift effects could produce a striking, almost surreal image with a vintage or dystopian feel.
Updated 9/19/2024