Zhouzhengjun

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Average Model Cost: $0.0029

Number of Runs: 40,071

Models by this creator

lora_inpainting

lora_inpainting

zhouzhengjun

The lora_inpainting model is an image-to-image transformation model that takes in specific input properties to generate an image based on the given criteria. The criteria include the width and height of the image, a textual description or prompt, a URI for initial image (lora_urls), a scheduling strategy for image generation, lora_scales that determine the granularity of the image details, adapter_type which determines how the guidance signal is processed, and other finer details like guidance_scale, negative_prompt and prompt_strength which influence the aesthetic aspects of the image generation. This model is primarily designed to create intricate, highly detailed, and quality images while avoiding undesirable outcomes specified in the negative_prompt. For example, it avoids creating images with deformed or inconsistent proportions, blurred visuals, missing or extra limbs, watermarks, and other unwanted features. Thus, it is typically used in cases where the user wants to create a masterpiece: an extremely delicate and beautiful image according to a specific theme or type, like an illustration or animation of a girl with specific features. The images are output in PNG format and can be accessed through a provided URL.

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$-/run

13.6K

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lora_openjourney_v4

lora_openjourney_v4

The lora_openjourney_v4 model is designed to transform text prompts into high-resolution images, utilizing AI learning processes to generate 512x512 pixel images based on the provided text cues. Inputs to the model include description parameters such as width, height, prompt and URL of the learning model, scheduler, scale factors, output numbers, guidance scale, negative prompts, strength of input prompts and steps for inference. The output from the model is a URL link directing to the created PNG format image.

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$-/run

11.2K

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lora_openjourney_v4

lora_openjourney_v4

The lora_openjourney_v4 is an image-to-image model that accepts specific input parameters such as image height, width, masterpiece quality prompt, lora url (presumably for the source image), scheduler type, lora scales, negative prompt, prompt strength, and the number of inference steps. This implies that the model performs a complex transformation process based on the provided prompts and the source image url, and outputs an ultra-detailed illustration of a described character or object. The output is a URL directing to the resulting image. This model may be useful in graphics design, particularly in creating detailed character illustrations.

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$-/run

10.5K

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AI model preview image

realistic

The 观照AI model is a text-to-image synthesis model that generates realistic images based on textual descriptions. It utilizes GANs (Generative Adversarial Networks) to generate high-quality images that match the given descriptions. This model has the potential to be applied in various domains such as graphic design, advertising, and art.

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$0.023/run

4.8K

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