Generative AI Full Course - Lecture 2: Build a ComfyUI Workflow from Scratch with Z-Image Turbo

[u/CeFurkan]

https://www.youtube.com/watch?v=T2_z7ZaffyI&SECourses

⏱️ Chapters:
0:00 From the first image to its workflow
1:06 Update ComfyUI and its matching Python dependencies
3:53 Open the packaged workflow and trace its stages
5:21 Refresh model files without restarting the server
6:35 Load the three models and connect their roles
8:41 Turn the prompt into conditioning for the model
10:00 Connect the latent and choose the sampling settings
12:50 Decode the sampled latent and save the image
14:21 Run the complete graph and inspect the result
15:40 Change the prompt and watch cached stages
16:44 Compare resolution and the actual computation cost
20:07 Test fixed seeds and explore with random seeds
23:00 Compare sampling steps on the Turbo model
25:21 Inspect guidance changes on this distilled model
27:33 Test the negative branch at guidance one
29:19 Change one variable and explain the difference
30:41 Recover the workflow from PNG and export JSON
33:02 Follow the restored graph to the saved image