What is an SDXL prompt word generator?
Sdxl Prompt Builder It is a free AI drawing Prompt construction tool. It has more than 900 sets of Chinese and English bilingual lexicon built-in, allowing you to quickly assemble professional-level drawings by clicking on the tags. Stable Diffusion Prompt Word. Whether using SDXL、Illustrious XL、NoobAI、 Pony Diffusion、Animagine XL、Anima Still FLUX, can combine characters, clothing, poses, scenes, lights and styles with one click, and automatically generate English label output that conforms to A1111 / ComfyUI syntax.
How to quickly create a complete set of prompts?
- Select model: First switch the model you are using above, and the quality starting position and recommended negative direction will be automatically switched.
- Click on the label: Add character, hairstyle, clothing, posture, scene and style tags in sequence from the forward vocabulary library.
- Adjust weight: Turn on the "weight mode" and click the label to adjust it in a loop
(標籤:1.2)Equal weight syntax. - Apply negative direction: Apply the recommended negative prompt words of the selected model with one click to avoid low-quality and distorted results.
- Copy the output: Paste the positive and negative directions into WebUI or ComfyUI respectively to start generating.
Six model prompt word strategies
The basic SDXL model is suitable for all scenarios. Quality starts with:masterpiece, best quality, highres, ultra-detailed, absurdres, sharp focus. Recommended parameters: DPM++ 2M Karras, steps 25–30, CFG 5–7, resolution 1024×1024. Negative direction must be added bad hands, extra digits Wait for hand tags.
Currently the most mainstream anime model series in the community, it has an excellent understanding of the Danbooru tag. Quality starts with:masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest. It is recommended that quality words be placed in prompt wordsending, if the scene is complex, you can put them once at the beginning and at the end. Recommended parameters: DPM++ 2M Karras or SGM Uniform, steps 25–28, CFG 5–5.8.
The Pony series features score_1 Arrive score_9 Rating label training, the positive direction must be written score_9, score_8_up, negative join score_4, score_5, score_6 Exclude low quality. Recommended parameters: Euler A, steps 28–40, CFG 7–9, Clip Skip 2.
Animagine XL 4.0 series animation model supports year labels (year 2024) and the style tag. Quality starts with:
masterpiece, best quality, highly detailed, anime style, beautiful detailed face. Recommended parameters: DPM++ 2M Karras, steps 28–30, CFG 5–7, Clip Skip 2.
Anima (CircleStone Labs and Comfy Org) is a new generation animation model that accepts both Danbooru tags and natural language descriptions. Official recommended starting moves:masterpiece, best quality, score_7, safe, and withLowercase, space separated Tags (except score tag). Be careful to avoid excessive stacking of image quality words. Rich content tags are more effective than negative stacking. Recommended parameters: er_sde, number of steps 30–50, CFG 4–5, Clip Skip 1.
FLUX, Qwen-Image and other new generation model preferencesnatural language description rather than pure labels. You can concatenate the selected tags into complete sentences, for example:a stunning anime masterpiece of a silver-haired knight, highly detailed, 8k, sharp focus, cinematic lighting. FLUX is less sensitive to negative cue words and requires only a small number of quality words to be negative.
Prompt word weight grammar teaching
Weight is the core syntax for controlling the focus of generation. After turning on the "weighted mode" in this tool, clicking on the labels will cycle through them in sequence. 0.8 → 1.2 → 1.5 → 2.0, the output looks like (masterpiece:1.2) A1111/ComfyUI compatible syntax. The higher the weight, the stronger the element’s presence in the picture;
0.8 The following is used to downplay unimportant elements. Recommended for key characters or core styles 1.2–1.5, to avoid excessive weight leading to unbalanced composition.
The Importance of Negative Prompts
negative cue words Describing the elements you don't want to appear is key to stable build quality. Common negative elements include: Image quality issues (lowres, jpeg artifacts, blurry), anatomical errors (bad anatomy, bad proportions), hand defects (bad hands, extra digits, missing fingers), redundant elements (watermark, signature, text) etc. This tool has pre-prepared "recommended negative directions" for each model, which can be applied with one click after switching models.
Advanced techniques to improve image quality
- Quality words are given priority: Be sure to
masterpiece, best qualityWords of equal quality are placed at the beginning of the prompt word (Illustrious is the recommended ending). - Content is greater than negative: Positive prompts that specifically describe postures, clothing, and the number of characters are more stable in output than stacked negative prompts.
- Control the number of tags: 20–40 tags are recommended for a single frame, as excessive stacking will dilute the effect of each element.
- Suggestions for using parameters: Refer to the CFG, step count, and sampler recommendations for each model in this tool as a starting point for parameter adjustment.
- Paired with other tools: Can be used before generating color ticket generator Plan a color scheme, or use Image conversion tool Post-production work.