dreamshaper

Maintainer: prompthero

Total Score

302

Last updated 9/18/2024
AI model preview image
PropertyValue
Run this modelRun on Replicate
API specView on Replicate
Github linkNo Github link provided
Paper linkNo paper link provided

Create account to get full access

or

If you already have an account, we'll log you in

Model overview

dreamshaper is a Stable Diffusion model created by PromptHero that aims to generate high-quality images from text prompts. It is designed to match the capabilities of models like Midjourney and DALL-E, and can produce a wide range of image types including photos, art, anime, and manga. dreamshaper has seen several iterations, with version 7 focusing on improving realism and NSFW handling compared to earlier versions.

Model inputs and outputs

dreamshaper takes in a text prompt describing the desired image, as well as optional parameters like seed, image size, number of outputs, and various scheduling options. The model then generates one or more images matching the input prompt.

Inputs

  • Prompt: The text description of the desired image
  • Seed: A random seed value to control the image generation
  • Width/Height: The desired size of the output image (up to 1024x768 or 768x1024)
  • Number of outputs: The number of images to generate (up to 4)
  • Scheduler: The denoising scheduler to use
  • Guidance scale: The scale for classifier-free guidance
  • Negative prompt: Things to explicitly exclude from the output image

Outputs

  • Image(s): One or more generated images matching the input prompt

Capabilities

dreamshaper can generate a wide variety of photorealistic, artistic, and stylized images from text prompts. It is particularly adept at creating detailed portraits, intricate mechanical designs, and visually striking scenes. The model handles complex prompts well and is able to incorporate diverse elements like characters, environments, and abstract concepts.

What can I use it for?

dreamshaper can be a powerful tool for creative projects, visual storytelling, product design, and more. Artists and designers can use it to rapidly generate concepts and explore new ideas. Marketers and advertisers can leverage it to create eye-catching visuals for campaigns. Hobbyists can experiment with the model to bring their imaginative ideas to life.

Things to try

Try prompts that combine specific details with more abstract or imaginative elements, such as "a portrait of a muscular, bearded man in a worn mech suit, with elegant, vibrant colors and soft lighting." Explore the model's ability to handle different styles, genres, and visual motifs by experimenting with a variety of prompts.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

Related Models

AI model preview image

dreamshaper-v6

mcai

Total Score

421

dreamshaper-v6 is an AI model developed by mcai that can generate new images based on input text prompts. It is comparable to other text-to-image models like dreamshaper-v6-img2img, dreamshaper, and dreamshaper-xl-turbo. The model aims to create high-quality images that match the provided text prompt. Model inputs and outputs dreamshaper-v6 takes in a text prompt as the main input and generates one or more output images. Users can also specify additional parameters like the image size, number of outputs, and a random seed. Inputs Prompt**: The input text prompt describing the desired image Width**: The width of the output image (max 1024) Height**: The height of the output image (max 768) Num Outputs**: The number of images to generate (1-4) Seed**: A random seed value to ensure consistent image generation Scheduler**: The type of scheduler to use for the image generation process Guidance Scale**: The scale factor for classifier-free guidance Negative Prompt**: Text describing things the model should avoid including in the output Outputs Output Images**: One or more generated images based on the provided input prompt Capabilities dreamshaper-v6 can create a wide variety of photorealistic and imaginative images based on text prompts. It is capable of generating images in many styles and genres, from landscapes and portraits to fantastical scenes and abstract art. What can I use it for? dreamshaper-v6 can be a powerful tool for creators, artists, and businesses looking to generate unique visual content. It could be used to produce custom illustrations, concept art, product visualizations, and more. The model's ability to generate multiple output images also makes it well-suited for ideation and experimentation. Things to try Some ideas to explore with dreamshaper-v6 include generating images of imaginary creatures, futuristic cityscapes, surreal dreamscapes, and photo-realistic portraits of fictional characters. You can also try combining the model with other tools like image editing software to further refine and enhance the generated outputs.

Read more

Updated Invalid Date

AI model preview image

majicmix

prompthero

Total Score

32

majicMix is an AI model developed by prompthero that can generate new images from text prompts. It is similar to other text-to-image models like Stable Diffusion, DreamShaper, and epiCRealism. These models all use diffusion techniques to transform text inputs into photorealistic images. Model inputs and outputs The majicMix model takes several inputs to generate the output image, including a text prompt, a seed value, image dimensions, and various settings for the diffusion process. The outputs are one or more images that match the input prompt. Inputs Prompt**: The text description of the desired image Seed**: A random number that controls the image generation process Width & Height**: The size of the output image Scheduler**: The algorithm used for the diffusion process Num Outputs**: The number of images to generate Guidance Scale**: The strength of the text guidance during generation Negative Prompt**: Text describing things to avoid in the output Prompt Strength**: The balance between the input image and the text prompt Num Inference Steps**: The number of denoising steps in the diffusion process Outputs Image**: One or more generated images matching the input prompt Capabilities majicMix can generate a wide variety of photorealistic images from text prompts, including scenes, portraits, and abstract concepts. The model is particularly adept at creating highly detailed and imaginative images that capture the essence of the prompt. What can I use it for? majicMix could be used for a variety of creative applications, such as generating concept art, illustrations, or stock images. It could also be used in marketing and advertising to create unique and eye-catching visuals. Additionally, the model could be leveraged for educational or scientific purposes, such as visualizing complex ideas or data. Things to try One interesting aspect of majicMix is its ability to generate images with a high level of realism and detail. Try experimenting with specific, detailed prompts to see the level of fidelity the model can achieve. Additionally, you could explore the model's capabilities for more abstract or surreal image generation by using prompts that challenge the boundaries of reality.

Read more

Updated Invalid Date

AI model preview image

dreamshaper

cjwbw

Total Score

1.3K

dreamshaper is a stable diffusion model developed by cjwbw, a creator on Replicate. It is a general-purpose text-to-image model that aims to perform well across a variety of domains, including photos, art, anime, and manga. The model is designed to compete with other popular generative models like Midjourney and DALL-E. Model inputs and outputs dreamshaper takes a text prompt as input and generates one or more corresponding images as output. The model can produce images up to 1024x768 or 768x1024 pixels in size, with the ability to control the image size, seed, guidance scale, and number of inference steps. Inputs Prompt**: The text prompt that describes the desired image Seed**: A random seed value to control the image generation (can be left blank to randomize) Width**: The desired width of the output image (up to 1024 pixels) Height**: The desired height of the output image (up to 768 pixels) Scheduler**: The diffusion scheduler to use for image generation Num Outputs**: The number of images to generate Guidance Scale**: The scale for classifier-free guidance Negative Prompt**: Text to describe what the model should not include in the generated image Outputs Image**: One or more images generated based on the input prompt and parameters Capabilities dreamshaper is a versatile model that can generate a wide range of image types, including realistic photos, abstract art, and anime-style illustrations. The model is particularly adept at capturing the nuances of different styles and genres, allowing users to explore their creativity in novel ways. What can I use it for? With its broad capabilities, dreamshaper can be used for a variety of applications, such as creating concept art for games or films, generating custom stock imagery, or experimenting with new artistic styles. The model's ability to produce high-quality images quickly makes it a valuable tool for designers, artists, and content creators. Additionally, the model's potential can be unlocked through further fine-tuning or combinations with other AI models, such as scalecrafter or unidiffuser, developed by the same creator. Things to try One of the key strengths of dreamshaper is its ability to generate diverse and cohesive image sets based on a single prompt. By adjusting the seed value or the number of outputs, users can explore variations on a theme and discover unexpected visual directions. Additionally, the model's flexibility in handling different image sizes and aspect ratios makes it well-suited for a wide range of artistic and commercial applications.

Read more

Updated Invalid Date

AI model preview image

epicrealism

prompthero

Total Score

69

epicrealism is a text-to-image generation model developed by prompthero. It is capable of generating new images based on any input text prompt. epicrealism can be compared to similar models like Dreamshaper, Stable Diffusion, Edge of Realism v2.0, and GFPGAN, all of which can generate images from text prompts. Model inputs and outputs epicrealism takes a text prompt as input and generates one or more images as output. The model also allows for additional parameters like seed, image size, scheduler, number of outputs, guidance scale, negative prompt, prompt strength, and number of inference steps. Inputs Prompt**: The text prompt that describes the image to be generated Seed**: A random seed value to control the randomness of the generated image Width**: The width of the output image Height**: The height of the output image Scheduler**: The algorithm used for image generation Num Outputs**: The number of images to generate Guidance Scale**: The scale for classifier-free guidance Negative Prompt**: Text describing things to not include in the output image Prompt Strength**: The strength of the prompt when using an initial image Num Inference Steps**: The number of denoising steps during image generation Outputs Image**: One or more images generated based on the input prompt and parameters Capabilities epicrealism can generate a wide variety of photorealistic images based on text prompts, from landscapes and scenes to portraits and abstract art. It is particularly adept at creating images with a high level of detail and realism, making it a powerful tool for creative applications. What can I use it for? You can use epicrealism to create unique and visually striking images for a variety of purposes, such as art projects, product design, advertising, and more. The model's ability to generate images from text prompts makes it a versatile tool for anyone looking to bring their creative ideas to life. Things to try One interesting aspect of epicrealism is its ability to generate images with a strong sense of realism and detail. You could try experimenting with detailed prompts that describe specific scenes, objects, or characters, and see how the model renders them. Additionally, you could explore the use of negative prompts to refine the output and exclude certain elements from the generated images.

Read more

Updated Invalid Date