⚙️ Best for Control

Free Stable Diffusion Prompt Generator from Image

Convert any image into a Stable Diffusion prompt complete with (weighted:syntax), negative prompts, and quality boosters. Compatible with SD 1.5, SDXL, and SD 3.5.

How Stable Diffusion Prompts Differ from Other Models

Stable Diffusion's prompt syntax is the most technical among popular AI image generators. Unlike Midjourney's clean comma-separated style or DALL-E 3's natural sentences, SD prompts use a weighted token system with parentheses notation. This gives you fine-grained control over every element of the image — but requires knowing the syntax.

(masterpiece:1.2), (ultra-detailed:1.1), cinematic photograph, lone warrior in ancient ruins, dramatic side lighting, volumetric fog, depth of field, (sharp focus:1.1), 8k resolution

Negative: (worst quality:1.4), (bad anatomy:1.3), blurry, watermark, text, low resolution, duplicate, mutated hands

Understanding Weighted Syntax

The (term:weight) syntax is Stable Diffusion's most powerful feature. Weights above 1.0 increase a token's influence on the output; weights below 1.0 reduce it. The practical range is 0.5 to 1.5 — going too high causes artifacts, going too low makes the term ineffective.

(masterpiece:1.2)
Signals the model to produce high-quality output. One of the most effective quality boosters in SD 1.5 and SDXL checkpoints.
(subject:1.1)
Slightly emphasizes your main subject without over-saturating the token. Good for ensuring the primary element stays dominant.
(bad anatomy:1.3)
A critical negative prompt token. Reducing anatomical errors (especially hands and faces) is one of the most important negative prompt strategies.
[term]
Square brackets reduce token weight to approximately 0.9x. An alternative syntax to (term:0.9) for subtle de-emphasis.

SD 1.5 vs SDXL vs SD 3.5: Which Should You Use?

SD 1.5 is the most widely supported checkpoint with thousands of community fine-tunes (LoRAs, embeddings). Prompts need more explicit quality tags and negative prompts. SDXL produces much higher resolution natively (1024×1024 base) and understands more natural language, needing fewer quality tokens. SD 3.5 is the newest architecture with dramatically improved prompt adherence and human anatomy, using a text-to-image diffusion transformer that handles complex compositions far better than earlier versions.

Our generator outputs prompts that work across all three. The core descriptors and weighted syntax are universally compatible, while quality tags are calibrated for the best results in SDXL and SD 3.5.

The Importance of Negative Prompts

Unlike Midjourney or DALL-E 3, Stable Diffusion relies heavily on negative prompts to avoid common generation artifacts. Without a proper negative prompt, SD images frequently exhibit distorted anatomy, watermarks, low-quality rendering, and compositional issues. Our generator automatically produces a negative prompt section targeting the specific weaknesses most likely to appear given your image's content and style.

Checkpoint Compatibility

The generated prompts are compatible with the most popular SD checkpoints: Realistic Vision, DreamShaper, Deliberate, SDXL Base 1.0, Juggernaut XL, and RealVisXL. For anime-style images, the generator adjusts vocabulary toward tokens recognized by checkpoints like AnythingV5 and CounterfeitXL.

Frequently Asked Questions

Does this generate negative prompts for Stable Diffusion?

Yes. The generator produces a dedicated negative prompt section with standard SD quality terms like (worst quality:1.4), (bad anatomy:1.3), blurry, watermark, plus content-specific negatives identified from your image to prevent common artifacts.

Does it work with SDXL and SD 3.5?

Yes. The generator outputs prompts compatible with SD 1.5, SDXL, and SD 3.5. SDXL and SD 3.5 understand more natural language, so prompts work slightly differently — our generator uses the appropriate vocabulary and weight ranges for each version.

What weight syntax does the prompt use?

Stable Diffusion uses parentheses with decimal weights: (term:1.2) increases emphasis, (term:0.8) reduces it. Our generator applies weights intelligently — critical style and quality terms like (masterpiece:1.2) get higher weights, while secondary descriptors stay at 1.0.

Can I use these prompts with ComfyUI or Automatic1111?

Yes. The generated prompts use standard SD syntax that works in both Automatic1111 and ComfyUI. Just paste the positive prompt into the prompt field and the negative prompt into the negative prompt field.