Learn how to fine-tune the FLUX.1 image generation model using Python and Replicate in this detailed tutorial video. Follow along with a practical demonstration that covers the complete workflow from image curation to model deployment. Master essential steps including preparing training data, writing effective image captions, executing the fine-tuning process, and implementing the model through both web UI and Python interfaces. Explore real-world results and future applications while gaining hands-on experience with multimodal AI development. Access supplementary resources including example code on GitHub, detailed blog posts, and comprehensive references to enhance the learning experience.
Overview
Syllabus
Intro - 0:00
Workflow - 0:30
Imports - 1:37
Step 1: Curate Images - 2:54
Step 2: Write Captions - 8:02
Step 3: Fine-tune Model - 11:15
Step 4: Use Model Web UI- 13:33
Step 4: Use Model PythonI- 17:09
Results - 17:58
What's Next? - 18:52
Taught by
Shaw Talebi
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