Better Than Midjourney: Openjourney Stable Diffusion
TLDRThe video introduces a method to run mid-journey as a local service on a PC, enabling unlimited free image generation. It highlights the limitations of the original mid-journey platform, which requires a paid subscription. The tutorial guides users through setting up a local version using a free, open-source model from Hugging Face, demonstrating the process with various prompts and showcasing the resulting images. The video also recommends resources for crafting effective prompts and invites viewers to share their creations on Discord.
Takeaways
- 🎨 The video introduces an alternative to the mid-journey AI art generation platform, which requires a paid subscription.
- 🖌️ By running a local service on one's PC, it's possible to generate unlimited free images similar to those produced by mid-journey.
- 💡 The process is based on training data from actual mid-journey images, ensuring comparable results without the need for payment.
- 📹 Following a previous tutorial on setting up Automatic 1111 is a prerequisite for this method.
- 🤖 Hugging Face is a valuable resource for various models and training datasets, including open-source versions of mid-journey.
- 🔍 The 'Open Journey' model by Prompt Hero is a specific example of an open-source model that can be used with stable diffusion.
- 📂️ To use the 'Open Journey' model, one simply downloads the checkpoint file and places it into the models directory of the stable diffusion installation.
- 🌐 There are numerous prompt sites available that provide a list of prompts for generating specific styles of images with stable diffusion.
- 🎭 Examples of generated images include a surreal underwater world, a historical epic battle scene, and a steampunk airship, showcasing the versatility of the AI.
- 🛠️ Prompt Hero is highlighted as a useful website for finding the best open Journey prompts and detailed information on how to achieve specific results.
- 📸 The results from the AI-generated images are highly detailed and can mimic the style of various artists, demonstrating the potential of this free alternative to mid-journey.
Q & A
What is the main topic of the video?
-The main topic of the video is about running mid-journey as a local service on one's own PC to generate unlimited free images, based on training data from actual mid-journey images.
What is mid-journey?
-Mid-journey is an artificial intelligence stable diffusion website that allows users to connect to Discord and generate amazing pieces of artwork.
What are the limitations of using mid-journey?
-The limitations of using mid-journey include the requirement of a monthly subscription fee and a limited number of images that can be created based on the subscription plan.
How can one bypass the limitations of mid-journey?
-One can bypass the limitations of mid-journey by running it as a local service on their own PC, which allows for the generation of unlimited free images.
What is the role of Hugging Face in this process?
-Hugging Face is a website that hosts a variety of different training datasets, models, and other resources that can be used for stable diffusion. It provides an open source mid-journey trained model that can be downloaded and used locally.
What is the name of the open source model found on Hugging Face that is similar to mid-journey?
-The open source model found on Hugging Face that is similar to mid-journey is called Open Journey.
How does one utilize the Open Journey model?
-To utilize the Open Journey model, one needs to download the checkpoint file from Hugging Face and place it into the models directory inside their local stable diffusion installation.
What are some resources mentioned in the video for generating prompts?
-The video mentions Creative Indie and Prompt Hero as resources for generating prompts. Creative Indie has a list of 644 mid-journey prompts, while Prompt Hero has a section on the best open Journey prompts.
How can one improve the quality of the generated images?
-The quality of the generated images can be improved by increasing the sampling steps to 150 and using a high-resolution fix and upscaler, such as ESRGAN 4X, to increase the resolution of the images.
What kind of results can be expected from using the local service setup?
-The results from using the local service setup can be highly detailed and intricate images, similar to what one would get from the mid-journey platform, but without the limitations or costs associated with it.
How can one refine their prompts for better image generation?
-One can refine their prompts by using websites like Prompt Hero that provide examples of successful prompts and their parameters. By adjusting the prompts and details based on these examples, users can achieve a more accurate representation of what they are aiming for.
Outlines
🖌️ Exploring Mid-Journey Alternatives
The paragraph discusses an alternative method to using the Mid-Journey AI stable diffusion website by running it as a local service on one's PC. This allows for the generation of unlimited free images, contrasting with Mid-Journey's paid subscription model. The speaker references a tutorial on setting up Automatic 1111 and introduces Hugging Face as a resource for downloading an open-source Mid-Journey trained model. The process of integrating this model with stable diffusion is explained, and the speaker shares their experiences with the results, highlighting the quality and style of the generated images.
🎨 Generating Detailed Artworks with AI
This paragraph delves into the speaker's exploration of generating detailed and intricate artworks using the local service setup. The speaker demonstrates how to use various prompts to create images in the style of renowned artists, showcasing the versatility of the AI model. They discuss the use of different prompts and sampling methods to refine the output and achieve high-quality results. The speaker also mentions the use of upscaling techniques to enhance the resolution of the generated images and shares their excitement about the potential of this technology. Additionally, they provide tips on finding effective prompts and encourage viewers to share their own creations.
Mindmap
Keywords
💡Artificial Intelligence
💡Mid-Journey
💡Stable Diffusion
💡Discord
💡Hugging Face
💡Open Journey
💡Prompts
💡Stable Diffusion UI
💡Upscale
💡Community and Collaboration
Highlights
The introduction of a method to run mid-journey as a local service on a personal PC, enabling the generation of unlimited free images.
The comparison of mid-journey's paid subscription model with the proposed free alternative using local service.
The requirement of having set up automatic 1111 on a local Windows machine as a prerequisite for this tutorial.
The use of hugging face, a website with various training datasets and models for stable diffusion, including an open source mid-journey trained model.
The simplicity of downloading and using the open Journey model directly with automatic 1111.
The availability of 21 different datasets for mid-journey on hugging face, allowing for diverse model training options.
The setup of a Discord Channel for sharing results and finding better models.
The demonstration of using creative indie's list of 644 mid-journey prompts with automatic 1111.
The detailed explanation of the prompt and settings used to generate a surreal underwater world in the style of HR Giger.
The use of DPM plus plus 2m sampling method and high-resolution upscalers to enhance image quality.
The presentation of the results, showcasing the intricate details and unique styles generated by the AI model.
The exploration of prompt hero's collection of the best open Journey prompts and the impact on generating specific styles.
The practical application of using prompts from prompt hero to achieve highly detailed and stylistically consistent images.
The discussion on refining prompts and the iterative process of achieving desired image outcomes.
The invitation to join a community for sharing and improving generated images, fostering a collaborative learning environment.