Zsxkib
Rank:Average Model Cost: $0.0030
Number of Runs: 75,051
Models by this creator
diffbir
diffbir
The DiffBIR model is an image restoration model that employs a generative diffusion prior for blind image restoration. It accepts inputs such as seeds, image URLs, steps, tile size, among others to process image restoration. Specifically, it utilizes various parameters that adjust aspects of the image like size, color, and face detection. The output from this model is a set of restored images. The model can be used for a variety of images but it's particularly suited for facial photos and general scenes. Advanced settings allow for further customization, such as super-resolution factors and the use of different restoration models.
$-/run
23.6K
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diffbir
diffbir
The DiffBIR model is an image-to-image restoration tool. The model uses machine learning algorithms and generative diffusion principles in order to repair and enhance the quality of images. The user can adjust various parameters to customize the restoration process; these include the number of steps in the process, tile size, type of color fix, guidelines for restoration, upscaling method, and super-resolution factor among others. The input is a single image file, while the output is a set of URLs leading to the processed image files. The model is capable of handling different types of images, from general scenes to faces.
$-/run
12.1K
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animate-diff
animate-diff
AnimateDiff is a text-to-video model that uses MotionLoRAs to animate a text-to-image diffusion model. The model is highly customizable, allowing users to define the seed, steps, width, height, frames, and prompt as well as apply different motion strengths (panning, zooming and rolling). The model produces animations without specific tuning. It takes a JSON object as input and provides a URL link to the video file as output. It functions to create hyper realistic visual representation and animations of a textual description, generating visually stunning images and scenes from simple textual prompts.
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11.9K
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animate-diff
animate-diff
The AnimateDiff model is a Text-to-Video application. It allows users to input a textual description which it then translates into a personalized animation without any specific tuning. The input model includes various parameters such as seed, steps, width, frames, height, prompt, base model, guidance scale, negative prompt and various motion strengths. The output is a video link generated based on the provided parameters; users can specify things like zooming in, panning up, etc. The example model, "realisticVisionV20_v20," generates hyperrealistic images based on the input prompt.
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11.0K
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clip-age-predictor
The clip-age-predictor is an image-to-text AI model designed to predict the age of a person from an image. The user inputs an image URL, and the model returns an estimated age based on the visual cues in the image. This model is a patched version of the clip-age-predictor developed by Andreas Jansson, updated to work with the newer version of cog.
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3.8K
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illuminati-diffusion
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3.5K
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illuminutty-diffusion
"Illuminati Diffusion with Textual Inversion Embeddings" is a model designed to generate images based on textual input. The model utilizes textual inversion embeddings to convert text into image representations. It aims to capture the hidden structures and meanings within text and generate corresponding images that align with the intended message. The model helps in exploring the relationship between text and images, enabling users to generate visual content based on textual input.
$0.030/run
3.5K
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realistic-voice-cloning
realistic-voice-cloning
Create song covers with any RVC v2 trained AI voice from audio files.
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2.2K
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animatediff-illusions
animatediff-illusions
Monster Labs' Controlnet QR Code Monster v2 For SD-1.5 on top of AnimateDiff Prompt Travel (Motion Module SD 1.5 v2)
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2.0K
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animatediff-prompt-travel
animatediff-prompt-travel
🎨AnimateDiff Prompt Travel🧭 Seamlessly Navigate and Animate Between Text-to-Image Prompts for Dynamic Visual Narratives
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1.3K
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