FREE AI tool for photographers, or why MidJourney SUCKS!
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
- ๐ค AI tools for image generation are often unsuitable for professional use due to limitations in practical application.
- ๐จ 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.
- ๐ธ The tool can be used for product and commercial photography, offering a choice for professionals who need to deliver real images to clients.
- ๐ The speaker demonstrates the tool's capability by running an image through stable diffusion and showing the iterative improvement with adjusted prompts.
- ๐ซ Censorship is a significant drawback of corporate AI tools, which can hinder creative freedom and the generation of certain images or ideas.
- ๐ก The open-source nature of stable diffusion allows for unlimited creative potential without the restrictions found in other paid solutions.
- ๐ ๏ธ The tool's workflow can be customized and configured to in-paint real objects into generated backgrounds, offering a high level of control.
- ๐ผ๏ธ High-resolution images can be generated, with the potential to create images up to 80 megapixels, surpassing the capabilities of other tools.
- ๐ป The tool can be run on various machines, including powerful PCs, and even on cloud computing services for those without high-end hardware.
- ๐จโ๐ซ The speaker offers bootcamps and tutorials for those interested in learning to use stable diffusion through his project at aimasterytools.com.
- ๐ฎ 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
๐ค 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.
๐จ 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.
๐ผ๏ธ 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.
๐ท 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.
๐ 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
๐กAI tools for image generation
๐กMidJourney
๐กStable Diffusion
๐กCensorship
๐กCommercial use
๐กResolution
๐กConfig UI
๐กInpainting
๐กSegment Anything (SAM)
๐กMasking
๐กPrototyping
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.