How to PERFECT Your AI Editing Profile (Imagen AI)

Katelyn James
4 Jan 202418:33

TLDRThe video transcript discusses the use of AI for photo editing, specifically with Imagen AI, by a photographer who shares their experiences and learning journey. They emphasize that while AI editing is a powerful tool that can enhance efficiency and save time, it is not perfect and requires the photographer to have a solid understanding of their editing style and the capabilities of software like Lightroom. The speaker provides insights into recognizing issues in AI-edited photos and making necessary adjustments, highlighting the importance of manual editing skills. They also mention the value of AI in providing a good starting point for edits, allowing for quick fine-tuning by those who are adept at identifying and applying the right adjustments. The summary encourages photographers to assess their ability to quickly find and fix issues in AI edits and to continue developing their editing patterns and skills.

Takeaways

  • 🤖 AI editing tools like Imagen AI can greatly enhance editing efficiency and save time for photographers, but they are not perfect and require fine-tuning.
  • 📈 The effectiveness of AI in editing depends on the photographer's ability to recognize and correct issues in the images, which comes from understanding their own editing patterns.
  • 👁️‍🗨️ Consistency in editing style is crucial for getting the most out of AI editing, as it helps the AI learn and adapt to the photographer's preferences.
  • 🛠️ Photographers need to have a strong foundation in manual editing and be able to make minor adjustments to perfect their work after AI editing.
  • 🕒 There should be a set time frame for fine-tuning AI-edited images; if it takes too long, it may not be worth using AI for that particular job.
  • 👍 AI can be an incredible tool for quickly completing baseline edits and can produce final galleries with minimal fine-tuning for photographers with a honed style.
  • 🚫 For photographers with highly artistic and varied editing styles, AI may not be as effective, as it can struggle to adapt to significant variations.
  • 🔍 The ability to quickly identify and fix issues in an image is essential for effectively using AI in the editing process.
  • 📚 Photographers are encouraged to take courses or train in manual editing within software like Lightroom before relying on AI to ensure they can make necessary adjustments.
  • 💡 Small tweaks to AI-edited images can make a significant difference and are often seen as a 'win' because they are minor and lead to a more personalized edit.
  • ⏰ AI editing is a new and evolving field; photographers are in the early stages of learning how to best utilize these tools for their workflow.

Q & A

  • What is the speaker's overall opinion on using AI for editing in photography?

    -The speaker acknowledges AI as a great tool that has improved their editing efficiency and time, but also admits that it is not perfect and requires ongoing learning and adjustments to achieve the desired results.

  • How does the speaker suggest photographers should approach AI editing?

    -The speaker suggests that photographers should learn to recognize issues in editing, understand their editing patterns, and have a good grasp of Lightroom's capabilities to effectively use AI in their business.

  • What does the speaker mean by 'KJ edit' in the context of the video?

    -'KJ edit' refers to the speaker's personal style of editing, which they aim to replicate as closely as possible using AI, although they acknowledge that AI is not capable of achieving this perfectly due to its non-human nature.

  • Why does the speaker emphasize the importance of understanding one's editing pattern?

    -Understanding one's editing pattern is crucial because it helps the photographer to make quick and effective adjustments to AI edits, ensuring that the final output aligns with their unique style and preferences.

  • What is the speaker's view on the necessity of manual editing training before using AI?

    -The speaker believes that manual editing training is essential before diving into AI editing. Without the ability to identify and correct issues in an image, a photographer may struggle to achieve satisfactory results with AI and could become frustrated.

  • How does the speaker evaluate the effectiveness of AI editing in their work?

    -The speaker evaluates AI editing by comparing the AI-edited images to their own manual edits, looking for consistency in style, exposure, color grading, and other elements that reflect their personal editing preferences.

  • What is the speaker's advice for photographers who find it challenging to make manual tweaks after an AI edit?

    -The speaker advises such photographers to first improve their manual editing skills and understanding of their editing patterns. They also suggest setting a specific time frame for making adjustments after an AI edit to avoid spending too much time on fine-tuning.

  • Why does the speaker recommend setting a time limit for fine-tuning AI-edited images?

    -Setting a time limit prevents photographers from getting sucked into endless re-editing, which can be frustrating and unproductive. It helps maintain efficiency and ensures that the use of AI is justified by the time saved.

  • What does the speaker suggest for photographers who are artistic and have a lot of variation in their edits?

    -The speaker suggests that AI may not be the best fit for photographers with highly artistic and varied editing styles, as AI might not adapt well to such diversity. Instead, they should focus on refining their shooting and editing patterns.

  • How does the speaker describe the process of fine-tuning AI-edited images in Lightroom?

    -The speaker describes the process as one where they look at the AI-edited images, identify areas that need adjustment (such as exposure, shadows, or color grading), and manually tweak the settings in Lightroom to match their preferred style.

  • What is the final step the speaker takes after fine-tuning the images in Lightroom?

    -The final step is to upload the fine-tuned images back to the AI editing platform (Imagine AI in this case) by selecting 'upload final edits', which allows the platform to learn from the adjustments and improve future edits.

Outlines

00:00

😀 Introduction to AI in Photography Editing

The speaker discusses their experience using AI for editing in photography, highlighting the benefits such as efficiency and cost-effectiveness, while also acknowledging that AI is not perfect. They emphasize the ongoing learning process and the importance of recognizing issues in editing to avoid creating a mess with sliders. The speaker also mentions the KJ consistency course, which teaches editing patterns and abilities within Lightroom, and refutes the idea that AI editing makes such courses obsolete.

05:03

🔍 Evaluating AI Edits and Making Adjustments

The speaker shares their process of evaluating AI edits, focusing on identifying specific issues like heavy blacks, warm temperature, and off color grading. They discuss the importance of understanding one's editing patterns and the capabilities of Lightroom for effectively using AI in business. The speaker also touches on the value of AI editing, even when minor tweaks are needed, and how they view small adjustments as a win. They share examples of images that required adjustments and those that were left untouched, reflecting their personal style and satisfaction with the AI edits.

10:04

📈 AI Editing Workflow and Decision-Making

The speaker describes their workflow with AI editing, including uploading final edits back to the AI system to improve future edits. They discuss the decision-making process regarding whether to manually adjust images or trust AI edits, emphasizing the need for photographers to be able to quickly identify and make adjustments for the process to be worth it. The speaker also addresses concerns about AI not learning or adapting, based on their own positive experiences and the importance of consistent shooting and editing patterns.

15:06

🎓 The Role of Foundational Knowledge in AI Editing

The speaker concludes by emphasizing the importance of foundational knowledge in photography editing before relying on AI. They suggest that those who struggle with manual adjustments and achieving a final look after AI editing may need more training in manual editing and Lightroom. The speaker encourages photographers to understand their editing style and patterns to make the most out of AI editing. They invite viewers to share questions and thoughts to help guide future content.

Mindmap

Keywords

💡AI Editing

AI Editing refers to the use of artificial intelligence to automatically adjust and enhance the visual aspects of photographs. In the video, the speaker discusses using AI for editing as a tool to improve efficiency and save time, but also emphasizes that it requires manual fine-tuning to achieve the desired personal style.

💡Imagen AI

Imagen AI is the specific AI editing tool mentioned in the video. It is used by the speaker to demonstrate how AI can assist in editing photographs, although it is noted that it is not perfect and requires further adjustments to meet the photographer's standards.

💡Efficiency

Efficiency in this context refers to the ability to perform a task with the least amount of waste or unnecessary effort. The speaker highlights that AI editing can greatly increase efficiency in post-production, which is particularly valuable for photographers handling large volumes of images.

💡Lightroom

Lightroom is a photo editing software used by the speaker to manually adjust and fine-tune the AI-edited images. It is an essential tool for photographers to achieve a consistent style and to correct any issues that AI editing might not have addressed.

💡Editing Patterns

Editing patterns are the consistent methods or techniques a photographer uses when editing their images. The video emphasizes the importance of understanding one's own editing patterns to effectively use AI and to make necessary adjustments after AI editing.

💡KJ Consistency Course

The KJ Consistency Course is a hypothetical or actual course mentioned by the speaker that teaches photographers about their editing patterns and how to use Lightroom effectively. It is suggested as a valuable resource for those looking to improve their post-production skills, including working with AI editing.

💡Overexposed

Overexposed refers to a photograph that has been exposed to too much light, resulting in washed-out highlights and loss of detail. In the video, the speaker critiques some AI edits as being overexposed and shows how to correct this issue in Lightroom.

💡Color Grading

Color grading is the process of adjusting the colors, tones, and contrast in a photograph to achieve a particular look or mood. The speaker discusses how AI editing can sometimes get the color grading wrong and the importance of being able to recognize and correct these issues.

💡Fine-Tuning

Fine-tuning involves making small, precise adjustments to an image after the initial AI editing process. The speaker demonstrates the fine-tuning process in Lightroom, showing how to achieve a personal editing style that is consistent across a gallery of images.

💡Workflow

Workflow in the context of photography refers to the sequence of steps taken to process and edit images from capture to final delivery. The video discusses how AI editing can streamline this workflow, provided the photographer has a solid understanding of their editing style and the tools to make necessary adjustments.

💡Free Edits

Free edits are a promotional offer given to the audience by Imagen AI, allowing them to try out the AI editing service without cost. The speaker mentions this offer as a way for viewers to experiment with AI editing and see its potential benefits and limitations firsthand.

Highlights

The speaker discusses their experience using Imagen AI for photo editing and its impact on efficiency and cost.

AI editing is not perfect, and the speaker is still learning how to optimize their AI editing profile.

The importance of recognizing editing issues to avoid creating a mess with excessive adjustments.

The necessity to understand one's editing patterns and the capabilities within Lightroom for effective AI use.

The speaker emphasizes that the KJ consistency course is still relevant and important even with AI editing.

A demonstration of loading a gallery in Lightroom and applying AI edits, including problem areas.

The speaker received 1500 free edits from Imagine AI for their audience.

The simplicity and seamless setup of Imagine AI impressed the speaker.

The speaker discusses the process of uploading photos and the initial results from AI editing.

The value of AI editing is weighed against the need for manual tweaking of certain images.

The speaker identifies specific edits they would make for a more personalized result.

The importance of being able to quickly identify and make necessary adjustments for AI editing to be worthwhile.

The speaker shares their thought process on whether the AI editing process is worth the time saved.

The speaker's approach to fine-tuning AI edits and the decision-making process behind it.

The impact of shooting conditions on AI editing performance and the need for profile adjustments.

The speaker's recommendation to have clear goals and time frames when working with AI to avoid frustration.

The final steps of editing with AI, including uploading final edits back to Imagen AI for profile improvement.

The speaker advises on self-assessment for those considering AI editing, emphasizing the need for foundational knowledge.

The potential of AI as an incredible tool for photographers with consistent shooting and editing patterns.

The speaker invites the audience to share questions and thoughts to guide future content creation.