Redditor: Qwen image model beats Flux on quality and speed, runs at int8 on 8GB VRAM
circumcised_hobbit · reddit · 2026-09-22
A Reddit user's appreciation post for Qwen's image model: previously on Flux1dev and Kontext for generation and reference editing, they now find Qwen better on every front — quality and speed. First-run mistakes were solved by simply re-running, and the editing is "simply goated." They also run it at int8 on just 8GB of VRAM.
Related event: Qwen Image Model Beats Flux in Quality and Speed, Users Report(4 posts)→
More from Multimodal
- Open-source full-duplex speech model caramel-1: 413M params, sounds human but can't hold a conversation — alexcovo_eth · 2026-11-12
- H3-Image touts 16MP generation and realtime inference via 2-step LoRA on ZeroGPU — linoy_tsaban · 2026-11-12
- MiniMax H3 Image renders 4K portrait in half the time Seedream 5.5 takes for 2K — heyronir · 2026-11-12
- Endless screensaver of self-assembling quantum cryostats, made with Gemini 4 Carbon — hapticdata · 2026-11-12
- Apple's ADM 3 Cloud image model ranks #42 in editing and #85 in text-to-image on Artificial Analysis arena — ArtificialAnlys · 2026-11-12
- Adobe Firefly debuts Story Builder tool for streamlined visual storytelling — LudovicCreator · 2026-11-12