openjourney
Maintainer: prompthero
11.8K
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | No Github link provided |
| Paper link | View on Arxiv |
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Model overview
openjourney is a Stable Diffusion model fine-tuned on Midjourney v4 images by the Replicate creator prompthero. It is similar to other Stable Diffusion models like stable-diffusion, stable-diffusion-inpainting, and the midjourney-style concept, which can produce images in a Midjourney-like style.
Model inputs and outputs
openjourney takes in a text prompt, an optional image, and various parameters like the image size, number of outputs, and more. It then generates one or more images that match the provided prompt. The outputs are high-quality, photorealistic images.
Inputs
- Prompt: The text prompt describing the desired image
- Image: An optional image to use as guidance
- Width/Height: The desired size of the output image
- Seed: A random seed to control image generation
- Scheduler: The algorithm used for image generation
- Guidance Scale: The strength of the text guidance
- Negative Prompt: Aspects to avoid in the output image
Outputs
- Image(s): One or more generated images matching the input prompt
Capabilities
openjourney can generate a wide variety of photorealistic images from text prompts, with a focus on Midjourney-style aesthetics. It can handle prompts related to scenes, objects, characters, and more, and can produce highly detailed and imaginative outputs.
What can I use it for?
You can use openjourney to create unique, Midjourney-inspired artwork and illustrations for a variety of applications, such as:
- Generating concept art or character designs for games, films, or books
- Creating custom stock images or graphics for websites, social media, and marketing materials
- Exploring new ideas and visual concepts through freeform experimentation with prompts
Things to try
Some interesting things to try with openjourney include:
- Experimenting with different prompt styles and structures to see how they affect the output
- Combining
openjourneywith other Stable Diffusion-based models like qrcode-stable-diffusion or stable-diffusion-x4-upscaler to create unique visual effects - Exploring the limits of the model's capabilities by pushing the boundaries of what can be generated with text prompts
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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