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Slides: You Might Not Need 50 Diffusion Steps — Ziv Ilan, Nvidia

Source Video

You Might Not Need 50 Diffusion Steps — Ziv Ilan, Nvidia

Relationship To World's Fair 2026

These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

Related Scheduled Sessions

Extracted Slides

slide-002.jpg

Slide text:

Diffusion models: What & Why

slide-003.jpg

Slide text:

Quantization: Performance & Quality

FLUx2[dev]on Blackwell|Quaitypreserved ateveryprccision level

16 NM04 B16

AIE

DIY with TensorRT-LLM - Visual Gen Run a pre-quantized ckpt from HF

#With NVFP4quantization labs/FLUx.2-dev --prompt "A cat' --linear_type trtllm-nvfp4 python visual_gen_flux.py--model_path black-forest- black-forest-labs/FLUX.2-dev-NVFP4

WIGAA

AI Engineer

AlEnginecr EUROPE

TUROK

20

Hidden Non-Slide Evidence

Classification audit: raw/sources/slide-ai-classification/slides/gHs5ZiY80PM/audit.json

Slide-Derived Subjects To Review

Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.