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Introduction to generative AI for image creation and manipulation.
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Generative AI tools for design and illustration, such as Midjourney and Stable Diffusion.
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Example of the tool Picthing for background removal.
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Pieter Levels' projects PhotoAI and InteriorAI.
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Current capabilities of image generation:
- Comparison of AI-generated images from 2022 vs. 2024.
- Limitations in generating complex image elements.
- Challenges in following complex prompts.
- Example using ComfyUI for facial swaps.
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Access and use of image models through API and hosting:
- Platforms like Replicate and Leonardo.ai for API access.
- RunPod for GPU access.
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Using templates for automatic image generation for marketing purposes.
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Limitations and advantages of prompting techniques for Midjourney and other generative models.
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Strategies for creating prompts with keywords and reference images.
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Applying consistency in style with meta prompts and reference images.
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Examples of maintaining style across different graphics using ComfyUI and templates.
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Transition to HTML-based image generation using solutions like htmlcsstoimage.
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Combining Vision Language Models and generative graphics for dynamic image creation.
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Overview of generative graphics in automation and specialized tools.
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Highlight ComfyUI and HTMLCSStoImage as key tools for integration in programming.
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Encourage exploration of tools for marketing and product processes automation.
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Additional resources and a video demonstration for further learning.