FREE AI tool for photographers, or why MidJourney SUCKS!

PHOTIGY
4 Apr 202420:36

TLDRThis video script discusses the limitations of AI image generation tools like Midjourney for professionals, advocating for an open-source alternative: Stable Diffusion. The speaker demonstrates how Stable Diffusion can be used offline, without censorship, and for high-resolution, commercial-grade image generation. The script includes practical examples of using the tool for product and commercial photography, highlighting its customization capabilities and potential for real-world applications in the creative industry.

Takeaways

  • 🤖 AI tools for image generation are often unsuitable for professional use due to limitations in practical application.
  • 🎨 The speaker recommends a free, open-source AI tool called 'stable diffusion' for its ability to generate images without internet connection and its lack of censorship.
  • 📸 The tool can be used for product and commercial photography, offering a choice for professionals who need to deliver real images to clients.
  • 🔍 The speaker demonstrates the tool's capability by running an image through stable diffusion and showing the iterative improvement with adjusted prompts.
  • 🚫 Censorship is a significant drawback of corporate AI tools, which can hinder creative freedom and the generation of certain images or ideas.
  • 💡 The open-source nature of stable diffusion allows for unlimited creative potential without the restrictions found in other paid solutions.
  • 🛠️ The tool's workflow can be customized and configured to in-paint real objects into generated backgrounds, offering a high level of control.
  • 🖼️ High-resolution images can be generated, with the potential to create images up to 80 megapixels, surpassing the capabilities of other tools.
  • 💻 The tool can be run on various machines, including powerful PCs, and even on cloud computing services for those without high-end hardware.
  • 👨‍🏫 The speaker offers bootcamps and tutorials for those interested in learning to use stable diffusion through his project at aimasterytools.com.
  • 🔮 The potential applications of AI in photography are vast, and the speaker encourages photographers to embrace these tools to stay ahead in a rapidly evolving field.

Q & A

  • What is the speaker's opinion on AI tools for image generation for professional photographers?

    -The speaker believes that most AI tools for image generation, such as Midjourney, are not practical for professionals due to their limitations and the presence of censorship.

  • What alternative tool does the speaker recommend for professional photographers?

    -The speaker recommends using 'stable diffusion', an open-source tool that is free for commercial use and does not require an internet connection.

  • Why does the speaker prefer 'stable diffusion' over other AI tools?

    -The speaker prefers 'stable diffusion' because it offers more freedom without censorship, allows for high-resolution images, and can be run locally, providing more control and flexibility for professionals.

  • How does the speaker demonstrate the capabilities of 'stable diffusion'?

    -The speaker demonstrates the capabilities of 'stable diffusion' by running various image generation tests, including modifying prompts to improve results and in-painting real objects into generated backgrounds.

  • What is the issue the speaker has with corporate AI tools in terms of censorship?

    -The speaker argues that corporate AI tools have censorship issues that can hinder creative freedom, as they may block or limit the generation of images based on community standards, which is not suitable for professional work.

  • Can 'stable diffusion' be used for commercial purposes without any cost?

    -Yes, 'stable diffusion' is free for commercial use, which is a significant advantage over other AI tools that may have restrictions or costs associated with commercial use.

  • What is the speaker's view on the importance of learning and adapting to new AI tools?

    -The speaker believes that learning and adapting to new AI tools is crucial for photographers and visual artists, as these tools are rapidly evolving and will become integral to the industry.

  • What is the 'mastery tools' project mentioned by the speaker?

    -The 'mastery tools' project is an initiative by the speaker that offers bootcamps and resources for learning how to work with AI tools like 'stable diffusion' for various applications in photography and design.

  • How does the speaker address the issue of text distortion in AI-generated images?

    -The speaker uses a masking technique within the 'stable diffusion' tool to select and preserve the text, preventing it from distortion during the image generation process.

  • What are some of the practical applications of 'stable diffusion' as demonstrated by the speaker?

    -The speaker shows practical applications such as generating product images for commercial use, creating prototypes, and even transforming existing photos into different styles or environments.

  • How does the speaker suggest improving the quality of AI-generated images?

    -The speaker suggests using a combination of 'stable diffusion' for initial image generation and Adobe Photoshop for fine-tuning and blending, especially for more precise and professional results.

Outlines

00:00

🤖 AI Tools for Image Generation: The Professional Perspective

The speaker expresses skepticism about AI tools for image generation, particularly for professionals, citing their limited practical applications. They discuss their experience with Majorni and Dali, noting that while these tools can be fun, they often fail to meet the needs of real-world product and commercial photography. The speaker introduces a free, offline tool that offers high-quality results without internet connection, emphasizing its suitability for professionals. They also share their experience using 'stable diffusion' on a student's photograph, highlighting the tool's ability to generate impressive images despite some text distortion issues. The speaker invites viewers to explore this tool as an alternative to corporate AI solutions that may be subject to censorship and other limitations.

05:05

🎨 Exploring AI's Creative Potential with Stable Diffusion

The speaker delves into the capabilities of 'stable diffusion,' an open-source AI tool that allows for image generation without censorship or commercial use restrictions. They contrast this with other AI tools, such as Midjourney, which may have better image quality but suffer from limitations due to censorship. The speaker shares their experience generating images with various prompts, demonstrating the tool's ability to produce high-resolution, customizable results. They also discuss the importance of avoiding censorship in creative work and the potential issues that arise when AI tools are overly regulated. The speaker invites viewers to learn more about using stable diffusion through their 'mastery tools' project, which offers bootcamps and tutorials for professionals looking to incorporate AI into their workflow.

10:09

🖼️ Advanced Techniques with AI Image Generation

The speaker explains advanced techniques for using AI to generate images, focusing on the customization and flexibility of the process. They describe how to use a Python code to inpaint real objects into generated backgrounds, highlighting the tool's ability to segment objects and apply masks to ensure realism. The speaker demonstrates how to use the tool to create images of bottles on rocks with various styles and lighting, showcasing the potential for creating professional product photography without the need for physical props or environments. They also discuss the option of using cloud computing to access powerful machine capabilities for image generation, without the need for expensive hardware.

15:12

🍷 AI in Professional Photography: Real-World Applications

The speaker discusses the practical applications of AI in professional photography, using the example of generating images for a wine client. They describe how AI can be used to place a bottle of wine into a lifestyle or restaurant setting, without the need for on-location photography. The speaker demonstrates the process of using AI to generate an image of a wine bottle on a table with a bright window behind it, showing how the tool can create realistic reflections and refraction effects. They also touch on the importance of using masks to preserve the integrity of text and other details in the generated images, and suggest that while AI can be a powerful tool for quick image generation, Photoshop remains essential for fine-tuning and perfection.

20:13

🚀 The Future of AI in Visual Arts and Photography

In the final paragraph, the speaker reflects on the rapid evolution of AI tools and their potential impact on the future of visual arts and photography. They share examples of their own work, including prototyping and the use of AI for creative presentations. The speaker expresses their passion for AI's creative possibilities and encourages viewers to consider how these tools might fit into their professional lives. They invite feedback and opinions from the audience, emphasizing their commitment to providing educational content and exploring the many business use cases for AI in image and video generation.

Mindmap

Keywords

💡AI tools for image generation

AI tools for image generation refer to software applications that utilize artificial intelligence to create images based on user input or prompts. In the video, the speaker critiques these tools for professionals, suggesting that they are mostly ineffective for real-world applications in product and commercial photography due to limitations in functionality and creativity.

💡MidJourney

MidJourney is mentioned as an example of a corporate AI tool that the speaker finds unsatisfactory. It is implied that MidJourney may have limitations such as censorship or inadequate image quality, which hinder its usefulness for professional photographers seeking to generate high-quality, uncensored images.

💡Stable Diffusion

Stable Diffusion is an open-source AI tool highlighted in the video as a superior alternative to other AI image generation tools. It is praised for its lack of censorship, free commercial use, and the ability to run locally without an internet connection, offering more flexibility and creative freedom for professional photographers.

💡Censorship

Censorship in the context of AI tools refers to the restriction of content based on predefined community standards or guidelines. The speaker argues against this, stating that it stifles creativity and could potentially limit the professional use of AI tools in generating diverse and innovative imagery.

💡Commercial use

Commercial use denotes the application of a product or tool in a business context to generate revenue. The video emphasizes that Stable Diffusion is free for commercial use, making it an attractive option for photographers who wish to leverage AI-generated images in their professional work without incurring costs or restrictions.

💡Resolution

In the video, resolution refers to the quality and clarity of the images produced by AI tools. The speaker contrasts the high resolution achievable with Stable Diffusion, which can reach up to 80 megapixels, with the lower resolution offered by other tools like MidJourney.

💡Config UI

Config UI, short for Configuration User Interface, is the term used in the video to describe the interface of the AI tool that allows users to customize and configure the AI's behavior. It is highlighted as a way for photographers to have more control over the image generation process, tailoring it to their specific needs.

💡Inpainting

Inpainting is a technique used in image editing where missing or unwanted parts of an image are filled in or removed. In the context of the video, inpainting is one of the functionalities of the AI tool, allowing users to seamlessly integrate real objects into generated backgrounds.

💡Segment Anything (SAM)

Segment Anything, or SAM, is a feature within the AI tool that enables the automatic segmentation of objects from their background based on a keyword description. The video demonstrates how SAM can be used to isolate a specific object, such as a perfume bottle, for further manipulation within the AI-generated environment.

💡Masking

Masking in image editing is the process of selecting a part of an image to apply effects or changes to while keeping the rest of the image unchanged. The speaker in the video uses masking to preserve the integrity of certain elements, such as text, during the AI image generation process.

💡Prototyping

Prototyping in the video refers to the use of AI image generation for creating preliminary designs or concepts for products, packaging, or other visual elements. The speaker suggests that AI tools like Stable Diffusion can be instrumental in the prototyping process, offering a fast and cost-effective way to visualize ideas.

Highlights

AI tools for image generation are often inadequate for professional use.

Majorni and other corporate AI tools have limited practical applications in real products.

Introduction of a free, offline, and commercially usable AI tool for photographers.

Demonstration of using stable diffusion to enhance a real photography image.

The importance of modifying prompts for better AI image generation results.

Comparison of stable diffusion with other AI tools regarding censorship and resolution.

Open-source nature of stable diffusion allowing for freedom from censorship.

The problem of censorship in AI tools affecting creative freedom for professionals.

A practical example of generating controversial ideas without censorship using stable diffusion.

The capability of stable diffusion to generate high-resolution images up to 80 megapixels.

Introduction of a project called masterytools.com for AI learning and bootcamps.

Explanation of how to use custom Python code with stable diffusion for unique workflows.

Technique of in-painting real objects into generated backgrounds using AI.

The use of Segment Anything Model (SAM) for automatic subject-background separation.

Application of masks in AI image generation to preserve details like text.

Real-world example of placing a product in a lifestyle environment using AI.

The potential of AI in prototyping and visual presentations for clients.

Invitation for feedback and opinions on the use of AI tools in professional photography.

Emphasis on the rapid evolution of AI and its impending ubiquity in the industry.