Cbh123

Models by this creator

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sdxl-money

cbh123

Total Score

5

sdxl-money is a Stable Diffusion XL (SDXL) model fine-tuned on currencies by the maintainer cbh123. This model is similar to other SDXL models like sdxl-shining, sdxl-custom-model, sdxl-betterup, and the base sdxl model, all of which have been fine-tuned or enhanced for various use cases. Model inputs and outputs The sdxl-money model takes a variety of inputs including a prompt, an optional image for image-to-image or inpainting tasks, a seed, and parameters like width, height, guidance scale, and number of inference steps. The model outputs one or more images based on the inputs. Inputs Prompt**: The text prompt describing the image to be generated Image**: An optional input image for image-to-image or inpainting tasks Seed**: A random seed to control image generation Width/Height**: The desired dimensions of the output image Guidance Scale**: A parameter to control the strength of the text prompt Num Inference Steps**: The number of denoising steps for the image generation Outputs Images**: One or more output images based on the provided inputs Capabilities The sdxl-money model is capable of generating high-quality images of various financial and currency-related scenes, such as banknotes, coins, and financial transactions. The fine-tuning on currencies allows the model to produce realistic and detailed depictions of monetary subjects. What can I use it for? You can use sdxl-money to generate images for financial applications, educational materials, or artistic projects involving currencies and money. The model could be useful for designers, illustrators, or anyone needing currency-themed visuals. Things to try Try providing the model with prompts related to different currencies, financial instruments, or economic concepts. Experiment with the input parameters to see how they affect the output, such as adjusting the guidance scale to change the level of detail in the generated images.

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Updated 6/9/2024

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sdxl-davinci

cbh123

Total Score

5

sdxl-davinci is a fine-tuned version of the SDXL model, created by cbh123, that has been trained on Davinci drawings. This model is similar to other SDXL models like sdxl-allaprima, sdxl-shining, sdxl-money, sdxl-victorian-illustrations, and sdxl-2004, which have been fine-tuned on specific datasets to capture unique artistic styles and visual characteristics. Model inputs and outputs The sdxl-davinci model accepts a variety of inputs, including an image, prompt, and various parameters to control the output. The model can generate images based on the provided prompt, or perform tasks like image inpainting and refinement. The output is an array of one or more generated images. Inputs Prompt**: The text prompt that describes the desired image Image**: An input image to be used for tasks like img2img or inpainting Mask**: An input mask for the inpaint mode, where black areas will be preserved and white areas will be inpainted Width/Height**: The desired dimensions of the output image Seed**: A random seed value to control the image generation Refine**: The type of refinement to apply to the generated image Scheduler**: The scheduler algorithm to use for image generation LoRA Scale**: The scale to apply to any LoRA components Num Outputs**: The number of images to generate Refine Steps**: The number of refinement steps to apply Guidance Scale**: The scale for classifier-free guidance Apply Watermark**: Whether to apply a watermark to the generated image High Noise Frac**: The fraction of high noise to use for the expert_ensemble_refiner Negative Prompt**: An optional negative prompt to guide the image generation Outputs An array of one or more generated images Capabilities sdxl-davinci can generate a variety of artistic and illustrative images based on the provided prompt. The model's fine-tuning on Davinci drawings allows it to capture a unique and expressive style in the generated outputs. The model can also perform image inpainting and refinement tasks, allowing users to modify or enhance existing images. What can I use it for? The sdxl-davinci model can be used for a range of creative and artistic applications, such as generating illustrations, concept art, and digital paintings. Its ability to work with input images and masks makes it suitable for tasks like image editing, restoration, and enhancement. Additionally, the model's varied capabilities allow for experimentation and exploration of different artistic styles and compositions. Things to try One interesting aspect of the sdxl-davinci model is its ability to capture the expressive and dynamic qualities of Davinci's drawing style. Users can experiment with different prompts and input parameters to see how the model interprets and translates these artistic elements into unique and visually striking outputs. Additionally, the model's inpainting and refinement capabilities can be used to transform or enhance existing images, opening up opportunities for creative image manipulation and editing.

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Updated 6/9/2024

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sdxl-shining

cbh123

Total Score

2

sdxl-shining is a Stable Diffusion XL (SDXL) model fine-tuned on the horror classic "The Shining". This model is maintained by cbh123 and is part of a growing ecosystem of SDXL-based models. Similar models include animagine-xl-3.1, an anime-themed SDXL model, and sdxl-custom-model, which incorporates Callback Adjust and other enhancements. Model inputs and outputs sdxl-shining is a text-to-image AI model that takes a text prompt as input and generates an image based on that prompt. The model also accepts additional parameters like image size, seed, and scheduler. Inputs Prompt**: The text prompt to generate the image from Negative Prompt**: Additional text to guide the image generation away from certain elements Image**: An input image for img2img or inpaint mode Mask**: An input mask for inpaint mode, where black areas will be preserved and white areas will be inpainted Seed**: A random seed, left blank to randomize Width**: The width of the output image Height**: The height of the output image Refine**: The refine style to use Scheduler**: The scheduler to use Lora Scale**: The LoRA additive scale, only applicable on trained models Num Outputs**: The number of images to output Refine Steps**: The number of steps to refine for the base_image_refiner Guidance Scale**: The scale for classifier-free guidance Apply Watermark**: Whether to apply a watermark to the output image High Noise Frac**: The fraction of noise to use for the expert_ensemble_refiner Replicate Weights**: The LoRA weights to use, left blank to use the default Outputs An array of image URIs representing the generated images Capabilities sdxl-shining can generate highly detailed and atmospheric images inspired by the iconic horror film "The Shining". The model is capable of producing a wide range of unsettling, eerie, and surreal imagery that captures the dark and foreboding tone of the source material. What can I use it for? With sdxl-shining, you can create custom horror-themed artwork, illustrations, and assets for a variety of projects, such as video games, book covers, album art, and more. The model's fine-tuning on "The Shining" allows it to generate highly specific and recognizable imagery that can be used to evoke a particular mood or aesthetic. Additionally, the model's versatility with different input parameters makes it a powerful tool for experimentation and creative expression. Things to try One interesting aspect of sdxl-shining is its ability to blend elements from the original "The Shining" with more contemporary or unexpected themes. For example, you could try generating images that juxtapose the classic horror setting of the Overlook Hotel with futuristic or sci-fi elements, or combine the ominous atmosphere of the film with more whimsical or surreal imagery. The model's flexibility allows for a wide range of creative possibilities and can help you push the boundaries of what is possible with text-to-image AI technology.

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Updated 6/9/2024