qwen-image-2-1

ncnn implementation of Qwen-Image-2.1, with text-to-image, image editing, multi-reference image input and transparent RGBA output

🎨 Agentic skill for Qwen-Image-2.1: Rewrites and optimizes text-to-image and multi-image editing prompts using official Alibaba specifications. Compatible with skills.sh and all AI agents.

Qwen Image 2.1 in Frosty Studio: create and edit with 10 references, official prompt enhancement, RGBA and recoverable galleries. Includes Frosty VL video workflows, Scene Lab, and 12 MCP tools for agents, with local Windows/CUDA setup and agent installation guides.

ComfyUI prompt enhancer nodes: Qwen Image 2.1 prompt expansion (official PE-T2I / PE-I2I), MiniMax H3 video prompts, and general image prompt enhancement (SDXL / Illustrious / NoobAI tags or natural language).

Qwen-Image-2.1-Uncensored is a local image model: qwen ai, qwen studio ai, qwen coder notes, chat qwen ai. GGUF, ComfyUI, no safety checker. Windows 10/11 zip, extract and run. Official free download. Download:➧

Local Qwen-Image 2.1 studio for Apple silicon Macs: create, edit and combine images, transparent PNGs, node-canvas workflows.

A collection of DSH (DeepSeek Harness) agent skills — reusable, task-specific instructions that teach an agent to finish a whole job.

Run Qwen-Image-2.1 on an 8GB GPU — one-command ComfyUI + GGUF setup, workflows and VRAM doctor.

ComfyUI Qwen-Image 2.1 multi-GPU inference: Ulysses sequence parallelism for 1/2/4/8 GPUs, T2I, image editing, INT8/FP8, and distributed prefix cache.

Implementation of Qwen Image 2.1 in Rust with RAM Layer Streaming

Type a prompt or drop up to 10 photos: Qwen-Image-2.1 renders it on your 12 GB GPU in ~35 s. Desktop app + CLI, honest benchmark vs gpt-image-2.

Local web studio for Qwen-Image-2.1 on Apple Silicon Macs with 32 GB: text-to-image, editing with up to 10 references, transparent PNGs, masks and prompt enhancers, all on the GPU.

Run Qwen-Image-2.1 locally on Apple silicon Macs with Core ML. 1024x1024 text-to-image, FP16 models and Python inference. Measured 2.4-2.6x faster denoising steps vs PyTorch bf16/MPS on M5 (32 GB). Preconverted weights on Hugging Face.

Self-hosted Qwen-Image-2.1 image generation API running on AMD ROCm (RDNA4). FastAPI backend with int8 quantization and device-mapped memory placement to fit tight VRAM/RAM budgets, plus a minimal web UI.

Accelerate Qwen-Image-2.1 text-to-image generation and image editing on NVIDIA RTX 5090. BF16 Triton kernels, optional MXFP8 + SageAttention2, Python API, CLI, and reproducible benchmarks.

Run Qwen-Image 2.1 locally on a 16 GB Apple Silicon Mac. Free, offline AI image editor and generator with mask inpainting, 4-step Turbo LoRA, 4-bit GGUF models, upscaling and a private mode. Built on stable-diffusion.cpp.