Hugging Face Diffusers topics
12 short topics in Generative AI and LLM Applications. Each one is a single focused exercise with a clear piece of evidence at the end.
12 topics, one exercise each.
Work through them in order, or jump to the one you need.
These are draft topic outlines (draft; instructor review pending). Full lessons follow after review; ask Ajay if you need a topic sooner.
- 01
Generation pipeline composition
Investigate generation pipeline composition using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 02
Prompt conditioning
Investigate prompt conditioning using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 03
Image dimensions and sampling choices
Investigate image dimensions and sampling choices using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 04
Randomness and reproducibility
Investigate randomness and reproducibility using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 05
Model and checkpoint selection
Investigate model and checkpoint selection using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 06
Device and memory configuration
Investigate device and memory configuration using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 07
Image-to-image conditioning
Investigate image-to-image conditioning using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 08
Mask and region conditioning
Investigate mask and region conditioning using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 09
Output inspection and selection
Investigate output inspection and selection using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 10
Generation runtime optimization
Investigate generation runtime optimization using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 11
Model provenance and usage constraints
Investigate model provenance and usage constraints using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 12
Pipeline regression comparisons
Investigate pipeline regression comparisons using a repeatable Hugging Face Diffusers experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course →
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