Reference image to SDXL prompt
PromptLens helps Stable Diffusion, SDXL, and image-to-image users turn a visual reference into a clean prompt, negative prompt, and review checklist before running generation or editing workflows.
Stable Diffusion workflows often depend on compact positive prompts, useful negative prompts, model settings, reference strength, and iteration notes. PromptLens separates visible image facts from style choices so the prompt is easier to test.
Use the SDXL / Flux output for the positive prompt, then copy the Negative output for artifacts, warped geometry, fake text, duplicated products, and brand risks. Use JSON when you need to move fields into a prompt library or QA sheet.
This page fits product photos, marketplace variants, ad backgrounds, landing-page visuals, and client mood boards where repeatability and review notes matter more than a single AI art caption.
Use the page as a focused prompt workflow: read the reference, choose the right output, adapt it in the target tool, then run a commercial review before launch.
Use the reference image to identify the visible subject, scene, composition, lighting, camera angle, material cues, and constraints that matter for stable diffusion image to prompt. Keep the first pass grounded in what the image actually shows.
Choose the PromptLens output that fits the next job: General for quick drafts, Structured for reusable prompts, Negative for constraints, Video Motion for movement, Campaign Brief for team handoff, JSON for systems, and Alt Text for accessibility or SEO.
Paste the prompt into ChatGPT, Gemini, Flux, SDXL, Kling, Sora, Runway, Veo, or the workflow you already use. Add aspect ratio, duration, model settings, brand rules, and channel requirements there.
Check rights, likeness, protected logos, product claims, accessibility wording, ad policy, and brand safety before using the output in public or paid creative.
These are example structures. Use the homepage tool to generate a prompt from your own reference image.
commercial product photography, reference-based composition, crisp subject edges, realistic material texture, soft diffused light, clean background, controlled shadow, high detail, original brand-safe output.
blurry, low detail, distorted object, extra parts, duplicate product, messy background, fake logo, unreadable text, warped typography, unrealistic reflections, oversaturated colors.
Keep the product shape and camera angle stable, reduce background clutter, preserve material cues from the reference, and change only the scene styling, surface, and lighting direction.
The same reference image can serve different jobs. Pick the output format by the next action, then keep the visible image evidence and review constraints attached to the prompt.
Use for a quick first draft when you need a clean prompt from the reference image before deciding on a model or channel.
Use for repeatable work because it separates subject, scene, camera, lighting, material, style, constraints, and commercial intent.
Use when the next model supports constraints or when the creative team needs a clear list of artifacts, copied assets, and policy risks to avoid.
Use for Kling, Sora, Veo, Runway, or similar tools when a still image needs camera movement, subject continuity, pacing, and motion guardrails.
Use when the output needs to move from a prompt writer to a marketer, designer, agency, client reviewer, or paid creative testing workflow.
Use JSON for automation or QA handoff, and use Alt Text when the same visual reading should support accessibility, SEO, or content operations.
Use this checklist before sending a prompt into production, paid media, product pages, client work, or a reusable automation path.
No. PromptLens prepares the prompt and negative prompt from your reference. Paste the result into your Stable Diffusion, SDXL, or compatible image workflow.
Stable Diffusion-style workflows often benefit from a separate constraint field. PromptLens uses negative prompts to reduce artifacts and commercial risks before production review.
Use the JSON output for repeatable fields, but do not treat it as a live API claim. Public API and hosted workflows remain gated until production evidence exists.