Install and open ComfyUI
Install the current ComfyUI Windows NVIDIA app from the official download page. Open the canvas and check the selected GPU is detected. This is the GUI route; a Python environment is not needed.
Install ComfyUICreate a source-linked RGBA image with the official ComfyUI Qwen-Image 2.1 template, then verify the PNG really contains transparency.
Estimated memory starting points for the complete Qwen-Image 2.1 text-to-image pipeline at 1024×1024. These are not measured render times.
| Machine | Qwen-Image 2.1 · ComfyUI text-to-image |
|---|---|
| NVIDIA GPU · 24 GB | Possible with ComfyUI offload and at least 32 GB system RAM; expect slower rendering. |
| NVIDIA GPU · 32 GB | Estimated INT8 starting point with better headroom. |
| AMD Radeon · 24 GB | No verified INT8 ConvRot run path for this exact graph; choose a supported NVIDIA GPU or rental instead. |
| Intel Arc · 24 GB | No verified INT8 ConvRot run path for this exact graph; choose a supported NVIDIA GPU or rental instead. |
| Apple Silicon Mac · 64 GB unified | Estimated BF16 text-to-image starting point with limited headroom. |
| Apple Silicon Mac · 96 GB unified | Estimated BF16 text-to-image starting point with more headroom. |
| CPU-only · 64 GB RAM | Not recommended because the complete image pipeline and many sampling steps are impractically slow; use a GPU or rental. |
The Mac text-to-image path decodes images; do not infer the separate Qwen-Image 2.1 image-edit path is healthy on Apple MPS.
Use ComfyUI’s official Qwen-Image 2.1 text-to-image graph and the publisher RGBA prompt; choose the Windows, Mac or Linux instructions for your hardware, then verify actual alpha transparency.
This setup uses the package documented for this task. Review its source and supported platforms before starting.
Save your machine in My Hardware to get an automatic starting choice. You can always choose any package yourself.
Start with 1024×1024 and 25 steps. The NVIDIA INT8 files total about 27 GB and can offload on 24 GB GPUs with enough RAM; 32 GB VRAM is a safer estimate. Mac BF16 files total about 32 GB before runtime, so start at 64 GB unified memory. Longer/higher-resolution output needs more memory.
Choose your computer first, then its GPU path. Follow the visual setup and import the linked workflow.
Use the ComfyUI Windows NVIDIA app and its GPU backend.
Install the current ComfyUI Windows NVIDIA app from the official download page. Open the canvas and check the selected GPU is detected. This is the GUI route; a Python environment is not needed.
Install ComfyUIDownload every linked file into its named folder under ComfyUI/models. The diffusion model alone cannot generate an image. Restart ComfyUI after the downloads.
diffusion_models/In ComfyUI choose Templates → Image → Qwen-Image 2.1 Text to Image or download the exact official JSON and drag it into the canvas. Select the four downloaded model files in their loader nodes; update ComfyUI if a node is missing.
Official Qwen-Image 2.1 text-to-image JSONReplace the prompt with “This is an RGBA format image with transparency. A clean red rocket icon, centered, no lettering. The image has an alpha channel and a transparent background.” Select 1024×1024, 25 steps and CFG 1 in the template, then click Queue Prompt once. These are first-run settings, not quality benchmarks.
Save or export the generated PNG from the ComfyUI output node. Open it in an editor with a checkerboard transparency view, then place it over both a dark and a light background. A white-looking background alone does not prove a real alpha channel.
The image saves from ComfyUI as PNG and reveals a transparent alpha channel when placed over a checkerboard, dark background and light background.
This guide uses the official ComfyUI text-to-image graph and official package files. The hardware tiers are file-size-based estimates; no YouRunAI speed benchmark is claimed. For unsupported GPU kernels use a rented NVIDIA GPU.
Update ComfyUI, verify every linked filename and folder in the file tree, then restart the app. Do not substitute a Qwen-Image 2.0 checkpoint.
Keep the publisher RGBA/alpha prompt wording, save a PNG, then inspect its alpha against checkerboard, dark and light backgrounds.
Start at 1024×1024, close other GPU tasks and use ComfyUI model offload or a machine with more VRAM or unified memory. Weight file size is not peak pipeline memory.
Original instructions, model files, and compatibility notes behind this setup.
Source-backed package and platform-route plan for private local chat with Qwen3.5 · 9B. Preserves the official Ollama 9B package, a smaller 4B family fallback, and a clearly labeled community uncensored GGUF option.
Run Qwen3.8 27B with Ollama, connect it to Cline in VS Code, and make one reviewable code change in a tiny local project.
Generate images from text prompts in ComfyUI with the fast distilled or more adjustable base 4B model. Save your results and reuse the visual workflow.