The TRUTH About Making Money with ChatGPT Images

Key Concepts

• Chat GPT Image Generation: Creating photorealistic images using text prompts, sketches, or existing images within Chat GPT.
• Multimodal Model: AI model that understands and processes different types of data, such as text and images.
• Image Generation Techniques: Drawing, copying existing images, prompting with Sora, and using the selection tool for targeted edits.
• Business Use Cases: Thumbnails, ads, marketing graphics, photo edits, and infographics.
• UGC Ads: User-generated content ads created using AI-generated images of people using a product.
• Content Policy: Restrictions on generating images of popular characters or sensitive content.
• Layer Generation: AI model that generates images with editable layers for individual element manipulation.
• AI Watermarking: Embedding metadata in AI-generated images to track their origin.

Image Generation Techniques

1. Drawing/Sketching

• Concept: Utilizing Chat GPT's multimodal capabilities by uploading hand-drawn sketches as prompts.
• Process: Draw a basic sketch on paper or an iPad, upload it to Chat GPT, and provide a text prompt describing the desired image.
• Example: Drawing a basic thumbnail layout with text and uploading it to Chat GPT to generate a more polished version.
• Caveats: Results can vary; detailed prompts and reference images improve accuracy. The model may not perfectly replicate the sketch.
• Quote: "You should be drawing...draw on paper, take a photo, upload it, and you get better results."

2. Copying Existing Images

• Concept: Using existing images as a base for generating new images.
• Process: Upload an image to Chat GPT and provide a text prompt describing the desired changes or modifications.
• Example: Uploading a Facebook ad creative and asking Chat GPT to create a similar ad for a different product.
• Details: Uploading an image of a sleep mask product to Chat GPT to generate an ad for the product.
• Quote: "Using pre-existing images to help you shape your image."

3. Prompting with Sora

• Concept: Leveraging Sora's image gallery and prompts to improve image generation in Chat GPT.
• Process: Browse Sora's image gallery, find images with desirable prompts, and adapt those prompts for use in Chat GPT.
• Sora: Media generation tool from Open AI.
• Details: Sora allows users to view the full prompts used to generate images, enabling reverse engineering and adaptation.
• Example: Finding a Pinterest-style image on Sora and using its prompt to generate similar images in Chat GPT.
• Quote: "Log on Sora, find good images, and then...reverse engineer, do something similar."

4. Using the Selection Tool

• Concept: Targeting specific areas of a generated image for editing.
• Process: Select an area of a generated image using the "Select" tool in the web version of Chat GPT and provide a text prompt describing the desired changes.
• Details: This tool is only available in the web version of Chat GPT, not the desktop or mobile app.
• Example: Selecting a ladder in the background of an image and asking Chat GPT to remove it.
• Quote: "Point out what that is, and it will affect that area specifically."

Business Use Cases

1. Thumbnails and Featured Images

• Concept: Generating eye-catching thumbnails for YouTube videos and other content.
• Details: Chat GPT can create thumbnails from sketches, photo montages, or existing images.
• Example: Reviving a flatlining YouTube video by uploading a new thumbnail made by Chat GPT.
• Transparent Layers: Chat GPT can handle transparent layers, allowing for the creation of complex thumbnails with isolated elements.
• Caveats: Chat GPT outputs 3x2 aspect ratio images, requiring cropping for 16x9 thumbnails. Faces can degenerate with multiple regenerations.
• Quote: "It's actually going to level up...you're going to just need to make better thumbnails now."

2. Creating Ads

• Concept: Generating ad creatives for various platforms, including Facebook and Instagram.
• Details: Chat GPT excels at text placement and generation in ads.
• UGC Ads: Creating user-generated content ads by generating images of people using a product.
• Example: Generating ads for a sleep mask company with AI-generated images of people wearing the mask.
• Quote: "The text placement and text generation of this is next level."
• Future Trend: Automated ad creation based on product images and landing pages, with hyper-personalized creatives for small demographic groups.

3. Marketing Graphics

• Concept: Generating visually appealing graphics for social media and other marketing materials.
• Details: Chat GPT can create images in various styles, such as Simpsons characters or movie posters.
• Example: Creating a Simpsons character version of oneself to promote a product or service.
• Content Policy Trick: Bypassing content policy restrictions by claiming the generated image is a representation of oneself.
• Quote: "Everyone can participate in meme culture."

4. Photo Edits

• Concept: Retouching and modifying existing photos.
• Details: Chat GPT can replace objects, remove distractions, and enhance images.
• Example: Replacing an old phone in a photo with a new phone model.
• Caveats: Faces can degenerate with multiple edits.
• Quote: "If you want to retouch some kind of...photo where there's something distracting...this...will do a quite good job."

5. Infographics

• Concept: Generating visual representations of information.
• Details: Chat GPT can create explainer graphics and simple infographics.
• Caveats: Character consistency is good, but the model struggles with accuracy and detail. Full infographics are not yet feasible.
• Example: Generating a step-by-step guide to the perfect golf swing.
• Quote: "I don't think you can generate full infographics."

Additional Points

• AI Detection and Watermarking: Companies are developing methods to track the origin of AI-generated images, but these methods can be bypassed.
• Rate Limits and Throughput: High demand for Chat GPT image generation has led to rate limits and capacity issues.
• Impact on Designers: AI image generation is likely to impact the design industry, particularly for low-end and freelance designers. Idea people and those with strong creative concepts will be more valuable.
• Future Trends: Layer generation, reasoning models, and integration of AI image generation into platforms like Canva and Facebook Ads.
• Ethical Considerations: The ease of generating realistic images raises concerns about scams, misinformation, and the need for media literacy.

Synthesis/Conclusion

The new image generation capabilities in Chat GPT represent a significant leap forward in AI technology, offering powerful tools for businesses and individuals to create visually appealing content. While the technology has limitations, such as the degeneration of faces with multiple edits and the inability to generate complex infographics, it is rapidly evolving and has the potential to revolutionize various industries, including design, advertising, and marketing. The key to success lies in understanding the capabilities and limitations of the technology, leveraging creative ideas, and adapting to the changing landscape of content creation.