Qwen3.0: Text Generation
Input a text prompt to generate detailed, reasoned responses using the Qwen3-4B-Thinking model.
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关于此工作流
This ComfyUI workflow turns Qwen 3.0 (4B, Thinking variant) into a drop-in text generator you can run inside a node graph. It loads the Qwen3-4B-Thinking weights with CLIPLoader, feeds your prompt and decoding settings to TextGenerate, and displays the final text in PreviewAny for quick copy-out. A MarkdownNote node is included in the graph with usage tips so you can remember the key parameters at a glance.
Under the hood, TextGenerate performs standard autoregressive decoding with adjustable parameters like temperature, top_p, and max new tokens. CLIPLoader is used here to point ComfyUI at the Qwen 3.0 text encoder weights (qwen_3_4b.safetensors) stored in models/text_encoders. The result is a compact, reproducible setup for generating detailed, reasoned responses, ideal for drafting explanations, outlining ideas, and iterating on prompt engineering directly in ComfyUI. As of 2026/03, ComfyUI supports the 4B Qwen 3.0 model for this workflow.
常见问答
Place qwen_3_4b.safetensors in ComfyUI/models/text_encoders, then select it in the CLIPLoader node. The TextGenerate node will use the loaded model handle automatically.
Use a clear instruction at the top of your prompt to set style and format. For length, increase max new tokens. For creativity vs. determinism, raise or lower temperature (and optionally adjust top_p).
Increase max new tokens so the model can finish, and make sure you are not using stop sequences that prematurely cut output. If you run low on memory, try shorter outputs and iterate.
Yes, but generation will be slower and you may need to reduce max new tokens. If the node exposes precision or memory-saving options, enable them. Close other GPU-heavy apps to free VRAM.