SCARY New Tool to Remove ANYTHING from Photo!
TLDRThis video introduces a groundbreaking AI-powered tool, DALL-E, which can seamlessly remove any element from a photo and generate a new image based on the remaining context. The presenter demonstrates how to use Photoshop's Content-Aware Fill to remove a subject from a complex scene, like a train station, and then uses DALL-E to fill in the removed area with astonishing accuracy. The tool is accessible for free to an extent, offering 50 free credits upon sign-up and 15 credits per month thereafter. The video also highlights the limitations of AI-generated images, such as a resolution cap of 1024x1024 pixels, but emphasizes the potential of AI in photo editing and encourages embracing this technology for its convenience and creative possibilities.
Takeaways
- π· **Photoshop Content-Aware Fill**: The script demonstrates using Photoshop's Content-Aware Fill feature to remove subjects from a photo by copying and pasting surrounding areas.
- π **Challenges with Perspective**: It's highlighted that Photoshop struggles with perspective, such as train tracks, due to the need to generate or recreate details rather than just copy them.
- π’ **Buildings and Platforms**: Details in buildings and platforms are complex for Photoshop to replicate, as manual editing can be very laborious.
- π **Giveaway for Creatives**: There's a mention of a giveaway for creative professionals, including Pro memberships and tools used in Hollywood, which are accessible through a provided link.
- π οΈ **Selection and Layer Techniques**: The process involves making a selection around the subject, copying the background layer, and using tools like the Lasso or Pen for precision.
- 𧩠**Cropping to Square**: For easier editing, the image is cropped to a square format, which aids in the AI's ability to generate the missing parts.
- π€ **AI-Powered Image Generation**: The tool DALL-E is introduced, which uses artificial intelligence to generate images from scratch, filling in missing areas with remarkable accuracy.
- π **Accessibility and Free Credits**: DALL-E is available without a waitlist, offering 50 free credits for the first month and 15 every month thereafter.
- π **Precision in AI Editing**: When integrating the AI-generated image back into Photoshop, care must be taken to match edges and adjust positions for a seamless result.
- π **Limitations and Upscaling**: DALL-E generates images at a resolution of 1024x1024 pixels, which may limit some uses, but can be upscaled using other AI tools.
- π **AI in Photo Editing**: The video concludes with a discussion on the inevitability of AI in photo editing, suggesting that while manual skills are valuable, the convenience and capabilities of AI should not be ignored.
Q & A
What is the main tool discussed in the video for removing unwanted elements from a photo?
-The main tool discussed in the video is Content-Aware Fill in Adobe Photoshop, which is used to remove unwanted elements by copying and pasting surrounding areas.
What are the limitations of using Content-Aware Fill for complex scenes?
-Content-Aware Fill has limitations in complex scenes, such as train tracks in perspective or areas with varying gaps like slabs between tracks, where it cannot generate or create the necessary details.
What is the AI-powered tool introduced later in the video that can generate images from scratch?
-The AI-powered tool introduced is DALL-E, which can generate images from a textual description and is capable of creating details that Photoshop cannot.
How does DALL-E handle the resolution of generated images?
-DALL-E generates images with a resolution of 1024 by 1024 pixels, which can be limiting but is sufficient for many applications.
What is the giveaway mentioned in the video that is relevant to creative professionals?
-The giveaway mentioned offers Klymb1 Pro memberships, courses on Kirby One, a MacBook Pro, SmugMug Pro subscriptions, and other visual tools and plugins used by Hollywood.
How can one participate in the giveaway mentioned in the video?
-To participate in the giveaway, one can visit pix.live/giveaway or click the link provided in the video description.
What is the process of using DALL-E to remove elements from a photo?
-The process involves uploading a cropped, square image with transparency to DALL-E, describing the scene, and then generating a new image without the unwanted elements.
What is the advantage of using AI in photo editing over manual methods?
-AI offers convenience and efficiency, especially for complex tasks that would be painstaking to achieve manually. It can also generate details that are difficult to replicate manually.
How can one improve the results generated by DALL-E if certain areas are not as desired?
-If the generated image has areas that need improvement, one can use the 'edit' feature in DALL-E to erase those areas and then regenerate the image with a new or adjusted description.
What is the potential downside of using AI in photo editing compared to manual methods?
-The downside could be that AI might not capture the same level of detail and nuance as manual editing, and it may not always generate the exact outcome the user desires, requiring multiple iterations.
How does the presenter feel about the future of AI in photo editing?
-The presenter believes that AI is here to stay and grow in photo editing. They encourage embracing AI and using it to enhance the creative workflow, while acknowledging the value of manual editing.
Outlines
π¨ Photoshop Content-Aware Fill & AI Image Generation
The first paragraph introduces a technique for removing a subject from an image using Photoshop's content-aware fill feature. It explains the limitations when dealing with complex scenes like train tracks and buildings. The speaker also mentions a giveaway for creative professionals, including Pro memberships and high-end tools. The main focus is on using an AI-powered tool called DALL-E to generate images, which is accessible with free credits and no waitlist. The process involves uploading a cropped, square image with transparency, describing the scene, and generating a new image. The AI's ability to create details that Photoshop cannot copy-paste is highlighted, along with the option to edit and regenerate the image to refine the results.
πΌοΈ Integrating AI-Generated Images with Photoshop
The second paragraph demonstrates how to integrate the AI-generated image back into the original Photoshop document. It covers the process of pasting the AI image, adjusting its size and position to match the original, and refining the mask to ensure a seamless blend. The limitations of DALL-E's resolution are acknowledged, but the presenter argues that it's sufficient for many purposes. The paragraph also touches on the computational intensity of running AI models and the presenter's personal experience with another AI model. Examples are provided to illustrate the AI's ability to generate complex details that manual editing in Photoshop might struggle with. The speaker concludes by emphasizing the inevitability of AI in photo editing, suggesting that embracing it can lead to new creative possibilities, and thanking the audience for their support.
Mindmap
Keywords
Content-Aware Fill
Train Tracks
Slabs
Buildings and Platforms
Artificial Intelligence (AI)
DALL-E
Photoshop
Giveaway
Kirby 1
MacBook Pro
SmugMug Pro
Highlights
A new tool is introduced that can remove any element from a photo using advanced AI technology.
The tool uses a content-aware fill feature to replace the selected subject with surrounding areas.
Photoshop's limitations are discussed, such as its inability to generate certain details like perspective train tracks.
A major giveaway for creative professionals is mentioned, including Pro memberships and visual tools used by Hollywood.
The process of using the lasso or pen tool to make a selection for removal is demonstrated.
A recommendation to crop the image to a square for easier processing is given.
The AI tool DALL-E is introduced, which is capable of generating images from scratch based on text descriptions.
DALL-E is available without a waitlist and offers free credits for new users.
The AI can generate complex scenes, such as an empty train station, with remarkable accuracy.
The video shows how to integrate the AI-generated image back into the original photo in Photoshop.
DALL-E's limitation of generating images at a resolution of 1024x1024 pixels is discussed.
The presenter shares their experience with another AI model, stable diffusion, and its high system requirements.
An example is shown where DALL-E successfully removes a pole, signs, and cars from a scene.
The presenter emphasizes the inevitability of AI in photo editing and its potential to enhance the creative workflow.
A comparison is made between manual and AI-assisted photo editing, highlighting the convenience of AI tools.
The video concludes with a call to action for viewers to like, subscribe, and stay tuned for future content.