Image Generation using open sourced models from Huggingface

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AI Summary

Summary: Using Open Source Models for Image Generation

• Instructor: Nikes
• Audience: Senior IT professionals and entrepreneurs
• Language: Simple
• Objective: Teach how to create images using open-source models to save money on subscriptions.
• Platform: Hugging Face
• Process:
  • Install required libraries.
  • Log in to Hugging Face, navigate to models, and select ‘text to image’.
  • Example model used: Stability AI Diffusion X1.
  • Write a prompt (e.g., “an AI robot imagined by Picasso”).
  • Run the model to generate the image.
• Capabilities of Hugging Face:
  • Over 18,000 models available.
  • Multiple models for text to image generation.
• Results:
  • Generated images based on prompts.
  • Example prompts: “an AI robot imagined by Picasso” and “an image of a monkey in the style of Picasso”.
• Benefits:
  • No need for paid subscriptions.
  • Copyright-free images.
• Conclusion: Users can generate their own images using open-source models.

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