Here are some examples of the difference steps makes for image generation using…



This is a dev post classified by Jev as Other (a tutorial), kept by the Dev Radar because it carries real work, not commentary.
Here are some examples of the difference steps makes for image generation using Qwen-Image-2.1 model. Every collage has two parts, 20 steps and 40 steps. If you're going with default weights, int8 or bf16, and no other workflows, then better to go with 30+ steps. For best crispy results, always good to go with 50!
Posted by AJ (7.7k followers) 1 h ago · 9 likes · 308 views · view the original post on X. Kept by the Dev Radar as Other.
More dev work like this
- Stop searching for a Granola or a Wispr Flow alternative — @FluidVoiceApp
- Our Opus 5.5 benchmarking versus Fable 5.1: — @PatrickMoorhead
- Meet Occamy 1.0 APEX I MiniPlus V2.1 Abliterated GGUF. A custom quantized text… — @HuggingModels
- Our friend @spedemo has made a real Marvin, 3D printed, remote controlled, with voice… — @ashtom
- Meet the uncensored beast: Qwen3.8-35B-A3B-Distill-MTP-APEX-I-MiniPlus-V2.1-Abliterated.… — @HuggingModels
- CCTP is expanding beyond USDC. — @circle
- 🚨重磅! MiMo-V2.6 刚登顶开源,小米AI负责人罗福莉直接预告 MiMo-V3换心脏! — @NFT_Chen
- Run uncensored Bonsai 2 27B on 16 GB MacBook 💻 — @atomic_chat_hq
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 22.9k posts from 5k X accounts over the last 21 days, 2.7k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-23 21:26 UTC. Full method.