Qwen-Image 2.1 now runs locally in TensorSharp with image editing and LoRA configs
fuzhongkai · reddit · 2026-09-27
A developer added Qwen-Image 2.1 support to TensorSharp, enabling local image generation and editing with GGUF models, plus configs for several LoRAs:
- Faster drafts: Pruna 8-step/5-step and Viggle Turbo, with step counts and sampling recipes baked into configs
- Looks and detail: Film Stills, Qwen-Image-2.1-Fix
- Targeted edits: Object Remover Bbox
The base config defaults to 2048×2048 with a 1024×1024 quick-draft option. Dependencies include the Qwen-Image 2.1 GGUF, Comfy-Org's VAE, and Qwen3-VL-8B GGUF with its vision projector. A CLI example is included, and all model URLs live in the GitHub config directory.
Related event: TensorSharp adds local Qwen-Image 2.1 inference with LoRA support(2 posts)→
More from Multimodal
- Clean point clouds: Tersus GNSS MVP S1 scans turned into high-quality splats in LichtFeld Studio — janusch_patas · 2026-11-11
- Creator rides the viral AI 3D reels wave with two space exploration videos — theteknosaur · 2026-11-11
- MiniMax H3-Image demo: Romanian folklore as ukiyo-e, then brought to life — Hailuo_AI · 2026-11-11
- Veo-generated 'Wandering Samurai Shiba Inu' short film wows Reddit — japaneo_evol · 2026-11-11
- Seedream 5.5 arrives on PixVerse, benchmarked against GPT Image 2.5 — aziz4ai · 2026-11-11
- AI video model nails multi-shot continuity as users stitch random ideas into clips — HeyZoyaKhan · 2026-11-11