Joachimsallstrom
Models by this creator
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Double-Exposure-Diffusion
167
The Double-Exposure-Diffusion model is a version 2 of the Double Exposure Diffusion model, trained specifically on images of people and a few animals. It can be used to generate double exposure style images by using the token dublex style or dublex in the prompt. The model was trained by joachimsallstrom using the Stable Diffusion 2.x model. Similar models include the Double-Exposure-Embedding model, which provides a pre-trained embedding for Stable Diffusion 2.x to achieve the double exposure effect. The Stable Diffusion v2 model is another relevant AI model, which can be used for a wide range of text-to-image generation tasks. Model inputs and outputs Inputs Prompt: The text prompt provided to the model, which can include the tokens **dublex style or dublex to trigger the double exposure effect. Sampler, CFG scale, Seed, Size**: The various parameters used to control the image generation process. Outputs Images**: The model generates unique double exposure style images based on the provided prompt and parameters. Capabilities The Double-Exposure-Diffusion model can create visually striking double exposure style images by blending multiple elements into a single image. Examples include a man with a galaxy background, an image of Emma Stone with a galaxy effect, and a portrait of young Elijah Wood as Frodo with a dark nature background. What can I use it for? The Double-Exposure-Diffusion model can be used to create unique and eye-catching images for a variety of applications, such as: Graphic design and photo editing Social media content creation Artistic and creative projects Advertising and marketing materials Since the model is open-access and available under a CreativeML OpenRAIL-M license, you can use it commercially and/or as a service, as long as you follow the terms of the license. Things to try One interesting aspect of the Double-Exposure-Diffusion model is its ability to blend various elements, such as portraits, landscapes, and abstract patterns, into a single cohesive image. You can experiment with different prompts and parameter settings to see how the model combines these elements in unique and creative ways. Additionally, you can try using the model to generate double exposure style images of different subjects, such as animals, buildings, or scenes from nature, to explore its versatility.
Updated 5/28/2024
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Double-Exposure-Embedding
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Double-Exposure-Embedding is a custom image embedding trained by joachimsallstrom to apply a distinct "double exposure" visual effect when used with the Stable Diffusion 2.x text-to-image model. This embedding was trained on a dataset of layered 768px images of people with a variety of surroundings, allowing it to handle objects and animals well. It can be triggered in prompts by writing "dblx". Similar models like stable-diffusion-2 and stable-diffusion-2-base provide the underlying Stable Diffusion 2.x model which can be used with various custom embeddings and tunings. Model inputs and outputs Inputs Text prompt**: A text description of the desired image. Model embedding**: The dblx embedding file which applies the double exposure effect. Outputs Generated image**: A unique image created by the Stable Diffusion 2.x model based on the input text prompt and "dblx" embedding. Capabilities The Double-Exposure-Embedding model can generate diverse and visually striking images by applying a "double exposure" effect. This allows for creative and surreal image composition, combining elements like faces, objects, and environments in unexpected ways. The model performs well on a range of subject matter, from portraits to landscapes. What can I use it for? The Double-Exposure-Embedding model can be a powerful tool for creative projects and artistic expression. It can be used to generate unique album covers, book illustrations, concept art, and more. The distinct visual style it produces may also be useful for film, photography, and design applications that require an unconventional or dreamlike aesthetic. Things to try Experiment with different text prompts that play to the model's strengths, such as those describing people, nature, or fantastical elements. Try combining the "dblx" embedding with prompts for specific artistic styles or subjects to see how it transforms the generated images. The model's ability to blend disparate elements in a cohesive way opens up many possibilities for imaginative and evocative visual compositions.
Updated 5/28/2024