NEW! How to change light with AI
TLDRIn this tutorial, we explore the innovative use of AI to control and manipulate light in images. The video introduces a model by Leo V that can relight any image, offering a range of lighting options. The process involves using a shape mask to control the direction and intensity of the light, and the model can even handle animations. The tutorial demonstrates how to integrate this model into a workflow using software like Comfy UI, where users can install necessary nodes and models to apply lighting effects to their images. The video showcases various examples, including adding a spotlight, neon lights, and sci-fi lighting to images, highlighting the flexibility and power of this AI-driven lighting control.
Takeaways
- 🌟 Leo V has created a model that can relight any image, offering users the ability to change the direction and type of light in a photograph.
- 🎨 The model is not limited to pre-selected options; it can be expanded with workflows, allowing for more lighting options and customization.
- 📷 Users can input their own images and the model can generate lighting effects that are not mere overlays but are integrated into the image.
- 🔄 The process involves installing missing custom nodes and models, such as IC Light, to work with the workflow.
- 📐 The direction and shape of the light can be controlled using a shape mask, which allows for precise positioning and resizing of the light source.
- 🌈 Different lighting scenarios can be simulated, such as neon pink blue disco light or blue sci-fi light inside a spaceship, by changing the prompt.
- 🧩 The model can handle various workflows, meaning it's versatile and can be used with different types of images and lighting conditions.
- ✅ The model retains much of the initial image's integrity, making the relighting process feel natural rather than forced or artificial.
- 🔍 The model comes with different versions, such as FC (foreground only) and FBC (foreground with background), catering to different user needs.
- 🚀 There's even a possibility to apply the lighting effects to animations, showing the potential for dynamic and moving light sources.
- 💡 The tutorial provides a step-by-step guide on how to install and use the model within a specific software, making it accessible to users with varying levels of expertise.
Q & A
What is the main concept discussed in the AI tutorial?
-The main concept discussed is the ability to control and relight any image using a model created by Leo V, which can adjust the lighting direction and intensity in a photo.
How does the relighting model work?
-The relighting model works by taking an input image and applying a lighting preference, which can be adjusted for direction (left, right, top, bottom) and type (e.g., spotlight, sunset), to change the lighting conditions of the image.
What is the role of the shape mask in controlling the light?
-The shape mask is used to define the shape and position of the light source. It can be a circle, triangle, or any other shape, and it allows users to control where the light is coming from and how it interacts with the subject of the image.
What are the different models available for relighting?
-There are three models available: FC (default relighting model conditioned on text and foreground), FBC (relighting model conditioned with text, foreground, and background), and fcon (same as the default model but trained with offset noise).
How can the lighting effects be applied to animations?
-The lighting effects can be applied to animations by using the model to re-render the lighting in each frame, creating the illusion of moving light sources over time.
What is the process of installing the necessary custom nodes?
-To install the necessary custom nodes, users need to go into the manager, search for 'IC light', and install the missing nodes. After installation, they should restart the application and refresh the nodes to ensure they are loaded correctly.
How does the model handle background images?
-The FBC model specifically is designed to handle background images. It takes both a foreground and a background image, along with a text prompt, and merges them together to create a relit image that includes both elements.
What is the significance of the offset noise in the fcon model?
-The offset noise in the fcon model is used during training to provide a different perspective on the data. However, user studies have shown that the default model without offset noise performs slightly better, so it is generally recommended unless a specific need for offset noise is required.
How does the model maintain the integrity of the original image?
-The model regenerates the image by understanding the content and structure of the original image, ensuring that it retains much of the initial details while applying the new lighting conditions.
What are the potential challenges when combining images of different aspect ratios?
-Combining images with different aspect ratios can lead to distortions, as the model may struggle to align and blend the images seamlessly. Users may need to adjust the size and position of the images to achieve a more harmonious blend.
How can users experiment with different lighting styles?
-Users can experiment with different lighting styles by changing the type of light in the model's settings, such as neon pink blue disco light or blue sci-fi light inside a spaceship, to see how these affect the overall mood and appearance of the image.
Outlines
🌟 Exploring AI's Potential to Control Light in Images
The first paragraph introduces the viewer to the concept of using AI to manipulate light in images. It discusses a model created by Leo V that can relight any image, as demonstrated with examples showing how the light source can be changed from left to right. The paragraph also mentions the ability to control light direction and the integration of workflows by keyi for expanded options. It highlights the model's capability to work with input images and not just renderings, and the potential for animations. The process for using the tool involves loading the software, installing necessary custom nodes, and selecting the appropriate model for the task. The different models are explained, focusing on their specific functionalities and the conditions they require, such as text, foreground, and optionally, background.
🎨 Customizing Light and Shadows in AI-Generated Images
The second paragraph delves into the practical use of the AI model for re-lighting images. It explains the process of installing and using the model with a workflow, emphasizing the customization options available for light sources, such as spotlights and color gradients. The paragraph demonstrates how to adjust the light's position and shape using a shape mask and how the AI regenerates the image to incorporate the light effect. It also touches on the ability to experiment with different light styles and the flexibility of the tool to adapt to various images and scenarios, including the use of multiple workflows for different lighting effects.
📸 Advanced Image Manipulation with AI's Lighting Control
The third paragraph showcases further capabilities of the AI model with additional examples of image manipulation. It describes the process of integrating the subject of an image into a new background while maintaining the original lighting and details. The paragraph addresses potential challenges with image sizes and aspect ratios but emphasizes the powerful outcome of the AI's lighting control. It concludes with a humorous anecdote about the presenter's lamps being stolen, tying back to the theme of light and highlighting the presenter's enthusiasm for the AI's lighting control feature.
Mindmap
Keywords
💡AI
💡Relight
💡Workflows
💡IC Light
💡Custom Nodes
💡Foreground and Background
💡Text Prompt
💡Shape Mask
💡Rendering
💡Animation
💡Stable Diffusion
Highlights
AI can now control and relight any image, offering new possibilities in image editing.
Leo V has created a model that can relight images based on lighting preferences.
The model is not limited to a few selections; it can expand with workflows made by keyi.
Images can be relit with various light sources, such as left light, right light, top light, and bottom light.
The model can take an input image and apply lighting effects that are not mere overlays but regenerate the image.
Animations can also be relit, with the light moving around based on the editor's adjustments.
To use the model, one needs to load Comfy UI and download workflows, then install missing custom nodes.
IC Light is a key component that needs to be installed for the model to function.
There are different models available, such as FC, FBC, and fcon, each with specific uses.
The default relighting model is conditioned on text and foreground, influencing the output.
The FBC model allows for the inclusion of a background image in the relighting process.
The fcon model is trained with offset noise and is slightly outperformed by the default model.
The model can be installed and used within Comfy UI, with the FB one being for background and the FC for default.
Users can control the direction and type of light using shape masks, adjusting location and size.
The model retains much of the initial image's integrity, even after applying lighting effects.
Different workflows allow for various lighting scenarios, such as neon pink blue disco light or blue sci-fi light inside a spaceship.
The model can cut out subjects from their background and place them into new, beautifully lit scenes.
Even with mismatched aspect ratios, the model's power in creating compelling images is evident.
Total light control in Stable Fusion represents a significant advancement in image editing with AI.