FREE AI tool for photographers, or why MidJourney SUCKS!
TLDRThis video script discusses the limitations of AI image generation tools like Midjourney for professional photographers, advocating for an open-source alternative: Stable Diffusion. The speaker demonstrates how Stable Diffusion can be used offline, without censorship, and for free, even for commercial purposes. They showcase its capabilities in generating high-resolution images and in-painting real objects into generated backgrounds, suggesting it's a powerful tool for visual artists and professionals looking to stay ahead in a rapidly evolving field.
Takeaways
- π€ AI tools for image generation are often limited for professional use due to their inability to produce real product applications.
- π¨ The speaker recommends a free, open-source tool called 'stable diffusion' that can be used without an internet connection and is suitable for commercial use.
- πΈ The tool allows for local image generation with impressive results, making it an attractive choice for professional photographers.
- π Issues with text rendering in AI-generated images can be observed, but modifications to prompts can improve results.
- π« The speaker criticizes corporate AI tools like Midjourney for their censorship and limitations in creativity and resolution.
- π‘ The importance of avoiding censorship in creative processes is highlighted, as it can stifle artistic freedom and innovation.
- π οΈ The video demonstrates how to use 'stable diffusion' with a custom Python code to in-paint real objects into generated backgrounds.
- π The tool's ability to segment objects and generate environments around them is showcased, with the potential for high-resolution output.
- π» The speaker discusses the possibility of using cloud computing for those who do not have access to powerful hardware.
- π An upcoming bootcamp for learning 'stable diffusion' and other AI tools is mentioned, indicating a growing interest and community around these technologies.
- π The rapid evolution of AI image generation tools is emphasized, suggesting that professionals should start learning and adapting to these technologies now.
Q & A
What is the speaker's opinion on AI tools for image generation for professionals?
-The speaker believes that most AI tools for image generation are not practical for professionals, citing that they are more for fun and have limited application with real products.
What issue does the speaker have with AI tools like Midjourney and Dali?
-The speaker criticizes these tools for their censorship issues, stating that they limit creativity and do not work well for professionals who need to generate diverse and sometimes controversial ideas.
What alternative AI tool does the speaker recommend for photographers?
-The speaker recommends using 'stable diffusion,' an open-source tool that is free for commercial use, does not require an internet connection, and can be run locally.
How does the speaker describe the process of using stable diffusion for image generation?
-The speaker describes a process that involves running images through stable diffusion, modifying prompts for better results, and using a custom Python code to in-paint real objects into generated backgrounds.
What is the advantage of using stable diffusion over corporate AI tools according to the speaker?
-The advantage of using stable diffusion is that it lacks censorship, offers high-resolution image generation, and provides more creative freedom compared to corporate AI tools.
What is the speaker's view on the importance of learning and adapting to AI tools in photography?
-The speaker believes that AI tools are rapidly evolving and will become ubiquitous in the industry. They encourage photographers to learn and adapt to these tools early on to stay ahead.
What is the speaker's opinion on the quality of images generated by Midjourney compared to stable diffusion?
-The speaker finds that Midjourney's image quality is not as good as stable diffusion, especially in terms of resolution and freedom from censorship.
How does the speaker address the issue of censorship in AI tools?
-The speaker uses the example of trying to generate an image with a controversial theme and being blocked by community standards, highlighting the limitations this imposes on creative professionals.
What is the speaker's suggestion for photographers interested in learning more about AI tools?
-The speaker suggests visiting 'aimasterytools.com' for bootcamps and further learning materials on how to work with stable diffusion and other AI tools for photography.
Can the speaker provide examples of how AI tools can be used for professional product photography?
-Yes, the speaker provides examples of using AI tools to generate images for product photography, such as placing a bottle of perfume on rocks with blue smoke and fire, or a bottle of wine on a table in a restaurant setting.
What does the speaker suggest as a solution for imperfections in AI-generated images?
-The speaker suggests using Photoshop to refine AI-generated images, such as by adding masks to correct text distortions or blending elements for a more realistic look.
Outlines
π€ AI Tools for Image Generation: The Professional Perspective
The speaker expresses skepticism about AI tools for image generation, particularly for professionals. They mention Majorni and Dali, suggesting these tools are fun but not practical for real product applications. The speaker introduces a free, offline, and commercially viable alternative without censorship issues, emphasizing its suitability for professional photographers. They demonstrate the tool's capabilities by running an image through stable diffusion, showing the process of refining results with different prompts and achieving satisfactory outcomes, despite some text rendering issues.
π¨ Harnessing the Power of Open-Source AI for Creative Freedom
The speaker compares corporate AI solutions with open-source alternatives like Stable Diffusion, highlighting the lack of censorship and freedom it offers. They discuss the limitations of corporate tools in terms of image resolution and creativity, using Midjourney as an example. The speaker then showcases Stable Diffusion's capabilities, including generating high-resolution images and customizing the workflow with Python code. They also mention their project, masterytools.com, offering bootcamps to teach AI tools for various applications, emphasizing the endless creative possibilities with Stable Diffusion.
π οΈ Customizing AI Image Generation for Professional Photography
The speaker delves into the technical aspects of using AI for professional photography, discussing the process of in-painting real objects into generated backgrounds. They explain the use of custom Python code and the open-source community's contributions to creating unique workflows. The speaker demonstrates how to use specific prompts and a segmenter tool to extract objects from their backgrounds, then reinsert them into new environments with realistic lighting and reflections. They also touch on the use of masks to correct text distortions in the generated images.
π· Applying AI to Real-World Client Projects: Wine Photography Example
The speaker provides a practical example of using AI in a real-world client project, specifically photographing wine bottles. They describe the process of placing a bottle of wine into a lifestyle scene, such as an upscale restaurant, using AI to generate the environment and reflections. The speaker emphasizes the efficiency of AI in producing multiple images for clients who require a large number of visuals, suggesting that while Photoshop is ideal for fine-tuning, AI can significantly speed up the creative process for social media and other platforms.
π The Future of AI in Visual Arts and Photography
In the final paragraph, the speaker reflects on the rapid evolution of AI in visual arts and its potential impact on professional photography. They share their experience as a speaker at a Chat GPT event, where they demonstrated the capabilities of stable diffusion for prototyping and creative applications. The speaker encourages viewers to share their thoughts on the use of AI in professional photography and expresses a desire to create more content based on audience feedback. They highlight the importance of embracing AI as a tool for visual artists and the opportunities it presents for innovation and efficiency in the industry.
Mindmap
Keywords
AI tools for image generation
Midjourney
Stable diffusion
Censorship
Commercial use
Product photography
Resolution
Config UI
Inpainting
Community standards
Prototyping
Highlights
AI tools for image generation are mostly unsuitable for professional use.
Majorni and similar AI tools offer limited applications for real products.
Introducing a free, offline, and commercially usable AI tool without internet dependency.
The tool can generate images with real products, suitable for professional photographers.
Demonstration of using 'stable diffusion' to enhance a student's photography.
Initial issues with text rendering in AI-generated images.
Improvement in image results by modifying the AI prompt.
The ability to generate images in different styles from a simple photograph.
Censorship issues with corporate AI tools like Midjourney.
Advantages of using open-source AI like Stable Diffusion for creative freedom.
The importance of avoiding censorship for artistic integrity in AI-generated content.
A practical example of generating controversial ideas without censorship restrictions.
The flexibility of Stable Diffusion to generate high-resolution images.
Introduction to 'Mastery Tools' for in-depth learning on AI tools for photographers.
Custom Python code for integrating real objects into AI-generated backgrounds.
The limitless possibilities of combining AI functionalities for unique results.
Techniques for using masks to improve text rendering in AI images.
Real-world applications of AI tools for product and commercial photography.
The potential of AI for prototyping and visual artistry in various industries.
Invitation for feedback and interest from viewers on the presented AI tools.