日本語: Stable diffusion prompt examples are useful when they show exactly how subject, style, modifiers, and negative prompts work together. Stable Diffusion responds well when the prompt separates subject, composition, style modifiers, technical hints, and negative prompts, then changes one part at a time.
日本語 - TL;DR: copy the example, then change one control
- 日本語: Write the main subject first, then add composition, lighting, style, and output constraints.
- 日本語: Use negative prompts for visible failure modes: extra fingers, bad anatomy, warped text, duplicate objects, low quality, and watermark.
- 日本語: Keep style modifiers specific. “Cinematic rim light, 50mm lens, matte product texture” is stronger than a long pile of vague adjectives.
- 日本語: Change one control per generation so you know whether the subject, crop, style, seed, or negative prompt fixed the image.
- 日本語: In Vogue AI, reuse the same anatomy across GPT Image 2, Nano Banana, and Midjourney style prompts so your briefs stay portable.
日本語 - Prompt anatomy
| 日本語: Part | 日本語: What to write | 日本語: Why it matters |
|---|---|---|
| 日本語: Subject | 日本語: The exact person, product, scene, object, or environment. | 日本語: The model needs a stable anchor before style instructions can help. |
| 日本語: Composition | 日本語: Camera distance, angle, crop, foreground, background, and negative space. | 日本語: Composition prevents visually impressive but unusable images. |
| 日本語: Style modifiers | 日本語: Lighting, medium, lens feel, palette, material, era, and realism level. | 日本語: Modifiers tune the look after the subject is clear. |
| 日本語: Negative prompt | 日本語: Visible errors you want to suppress. | 日本語: Stable Diffusion often benefits from an explicit error blacklist. |
| 日本語: Iteration rule | 日本語: The one element to change after the first result. | 日本語: A controlled prompt is easier to debug than a rewritten prompt. |
日本語 - A practical Stable Diffusion formula
日本語: Use this order for most prompts: subject, scene role, composition, lighting, style, technical hint, output rule, negative prompt. You can shorten it later, but the first draft should make every control visible.
- 日本語: Positive prompt: [subject], [scene or job], [composition], [lighting], [style], [material or texture], [camera/lens hint], [aspect/crop goal].
- 日本語: Negative prompt: low quality, blurry, watermark, unreadable text, extra limbs, distorted hands, duplicate subject, bad anatomy, warped logo.
- 日本語: Revision note: if the subject is wrong, fix the subject or reference first; if the image is generic, fix modifiers; if the layout is wrong, fix composition.
日本語 - Copyable prompt examples
日本語: Keep these public prompt blocks in English when you paste them. Replace bracketed fields, then adjust only one control after the first generation.
- Stable Diffusion product prompt: premium studio product photo of [product], centered composition, 50mm lens, softbox key light, crisp material texture, clean [background color] backdrop, subtle contact shadow, commercial realism, no text, no watermark, no deformed logo.
- Stable Diffusion portrait prompt: editorial portrait of [subject], natural skin texture, sharp eyes, relaxed confident expression, soft background separation, wardrobe in [palette], 85mm lens look, cinematic daylight, no extra fingers, no distorted face, no text.
- Stable Diffusion environment prompt: cinematic wide landscape of [place], clear foreground subject, layered depth, golden-hour side light, atmospheric perspective, realistic terrain detail, coherent scale, no duplicate horizon, no text, no watermark.
- Vogue AI rewrite prompt: Create a controlled image of [subject] for [channel]. Keep [identity element] stable, use [composition], [lighting], [style], [aspect ratio], and avoid [failure mode].
日本語 - Positive vs negative prompt decisions
| 日本語: Goal | 日本語: Put in positive prompt | 日本語: Put in negative prompt |
|---|---|---|
| 日本語: Better hands or faces | 日本語: Natural hand pose, sharp eyes, realistic skin texture. | 日本語: extra fingers, fused fingers, distorted face, asymmetrical eyes. |
| 日本語: Cleaner product image | 日本語: Centered product, crisp material, soft contact shadow. | 日本語: warped logo, unreadable label, watermark, duplicate product. |
| 日本語: Readable composition | 日本語: Clear foreground subject, simple background, negative space. | 日本語: cluttered background, cropped subject, duplicate horizon. |
| 日本語: Specific style | 日本語: Editorial photo, watercolor, anime cel shading, isometric render. | 日本語: low quality, muddy colors, noisy texture. |
日本語 - Worked example: from vague idea to controlled prompt
日本語: Raw idea: “make a cool mountain cabin image.” That is too open. A controlled Stable Diffusion prompt names the subject, camera, light, season, and common failures.
- 日本語: Version 1: cinematic wide landscape photograph of a small modern mountain cabin beside a clear alpine lake, foreground rocks and pine branches, golden-hour side light, mist in distant valley, realistic terrain detail, 24mm lens look, coherent scale, no people, no text, no watermark, no duplicate cabin.
- 日本語: If the cabin is too small, change composition: medium-wide framing, cabin occupies 30 percent of frame.
- 日本語: If the image becomes fantasy instead of realistic, reduce style language and add documentary landscape photography, natural colors, realistic material detail.
日本語 - Style modifiers that actually help
- 日本語: Lighting: softbox, rim light, golden hour, overcast daylight, hard flash, volumetric light.
- 日本語: Camera feel: 24mm wide angle, 50mm product lens, 85mm portrait look, macro close-up, top-down flat lay.
- 日本語: Medium: editorial photo, clay render, watercolor illustration, anime cel shading, ink poster, isometric 3D.
- 日本語: Material: brushed aluminum, matte ceramic, translucent glass, woven fabric, glossy enamel.
- 日本語: Channel: ecommerce hero, app store preview, vertical social poster, editorial cover, thumbnail-safe crop.
日本語 - When to use reference images in Vogue AI
日本語: Stable Diffusion users often rely on seeds, LoRA, ControlNet, or image-to-image workflows for consistency. In Vogue AI, the simpler public workflow is to attach a reference image when identity matters, then state exactly what the reference controls.
- 日本語: Use a reference for face identity, product silhouette, package color, UI hierarchy, or logo placement.
- 日本語: Do not use a reference just because the prompt feels weak; first fix subject and composition.
- 日本語: Write the handoff sentence: use the uploaded image for identity and shape only; reinterpret lighting, wardrobe, background, and mood.
日本語 - Mistake and fix table
| 日本語: Problem | 日本語: Likely cause | 日本語: Fix first |
|---|---|---|
| 日本語: Prompt looks good but output is random | 日本語: Subject and composition are buried after style words. | 日本語: Move subject and frame to the first sentence. |
| 日本語: Negative prompt does nothing | 日本語: It lists abstract dislikes instead of visible errors. | 日本語: Use concrete failures: extra fingers, watermark, duplicate object. |
| 日本語: Image is pretty but unusable | 日本語: No channel or crop rule. | 日本語: Add ecommerce hero, 9:16 poster, 4:5 product crop, or text-safe area. |
| 日本語: Style keeps drifting | 日本語: Too many competing modifiers. | 日本語: Pick one medium, one lighting setup, and one palette. |
FAQ
日本語 - What prompt format works well for Stable Diffusion?
日本語: The most reliable format is subject, composition, style modifiers, technical hints, output rules, then negative prompt. It is not the only format, but it is easy to debug.
日本語 - How long should a Stable Diffusion prompt be?
日本語: Long enough to control the job. For most images, 25 to 70 meaningful words plus a short negative prompt is easier to manage than a huge adjective list.
日本語 - Should I always use negative prompts?
日本語: Use them when you can name visible failures. Negative prompts are useful for anatomy, text, watermarks, duplicate objects, blur, and low-quality artifacts.
日本語 - Can I use the same prompt in Vogue AI?
日本語: Yes, but translate model-specific syntax into a clear creative brief. Keep the subject, composition, style, and avoid-list, then add a reference image when identity matters.
日本語 - Why does my prompt ignore important details?
日本語: The usual reason is competing priorities. Put the most important subject and composition details first, remove weak modifiers, and revise one control at a time.
日本語 - Are style words like 8K and masterpiece required?
日本語: No. Some older Stable Diffusion workflows used quality tags heavily, but clear subject, lighting, composition, and failure controls usually matter more.