Question 1

What are the most important elements of a Stable Diffusion prompt?

Accepted Answer

The key elements are: (1) Main subject - what you want to see, (2) Style - artistic style or medium, (3) Quality - keywords like '8k', 'highly detailed', 'masterpiece', (4) Lighting - type and mood, (5) Details - specific properties like colors, composition. The more detailed, the better the result.

Question 2

How does prompt weighting work in Stable Diffusion?

Accepted Answer

Prompt weighting controls word importance: (word) increases weight by 1.1x, ((word)) by 1.21x (1.1 × 1.1). [word] decreases weight by 0.9x. Alternatively, use (word:1.5) for precise weighting. Example: (blue eyes:1.3) makes the blue eyes more prominent.

Question 3

What are negative prompts and how do I use them?

Accepted Answer

Negative prompts define what should NOT appear in the image. Common negative prompts include: 'ugly', 'blurry', 'poorly drawn', 'bad anatomy', 'watermark', 'text', 'signature'. They're essential for high-quality results without typical AI artifacts.

Question 4

What do Sampling Steps and CFG Scale mean?

Accepted Answer

Sampling Steps (20-50) determine how many iterations the model runs. More steps = more detail, but slower. CFG Scale (7-15) controls how strictly the prompt is followed. Lower values (5-7) = more creative, higher values (12-15) = more prompt-accurate. For most cases, 30 steps and CFG 7 are optimal.

Question 5

Which quality keywords should I use?

Accepted Answer

Recommended quality keywords: 'masterpiece', 'best quality', 'highly detailed', '8k uhd', 'sharp focus', 'professional', 'award winning'. These signal the model to generate high-quality outputs. Combine several for best results.

Question 6

How do I create consistent characters?

Accepted Answer

For consistent characters: (1) Describe the character in great detail in your first prompt, (2) Save the seed of the best result, (3) Use the same seed for additional images, (4) Keep the character description identical, (5) Use LoRA or embeddings for even better consistency.

Question 7

Which sampler should I choose?

Accepted Answer

Recommended samplers: 'DPM++ 2M Karras' (fast, high quality), 'Euler a' (creative, variable), 'DDIM' (deterministic, consistent). For beginners, 'DPM++ 2M Karras' with 20-30 steps is a good start. Experiment with different samplers for different effects.

Question 8

What's the difference from Midjourney prompts?

Accepted Answer

Stable Diffusion responds better to technical details and specific descriptions. Key differences: (1) Prompt weighting with () and [], (2) Negative prompts are central, (3) No parameters like --chaos or --stylize, (4) More focus on quality keywords, (5) Longer, more detailed prompts often work better.

Stable Diffusion Prompt Generator

Frequently Asked Questions

Initial Release

Stable Diffusion Prompt Generator

Frequently Asked Questions

Initial Release