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Stable Diffusion#marketingStandard promptSaves ~15min

Restore and upscale a low-res customer photo for a testimonial graphic

Restore + upscale a small grainy customer photo for a testimonial graphic without inventing a different face. Covers upscaler choice, the safe denoising range, face-fix weights, and a 3-point integrity check.

rach_maeve4 June 2026
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A customer has sent me a small, low-res photo of themselves with my product and given permission to use it in a testimonial graphic. The photo is too small and grainy to use as-is. I want to restore + upscale without making it look fake.

Original photo dimensions: {{original_dims}}
What's in the photo: {{photo_subject}}
Issues with the original (grain, JPEG compression, soft focus, low light): {{photo_issues}}
End-use dimensions I need: {{target_dims}}
End use (testimonial tile, web hero, print): {{end_use}}
Customer's consent + how they want to be credited: {{consent_credit}}

Give me a Stable Diffusion img2img upscale workflow:

1. UPSCALER CHOICE - recommend the right SD upscaler for a real-person photo (not Anime / Lollypop / artistic upscalers). Likely R-ESRGAN x4+ or 4x-UltraSharp. Tell me which keeps skin texture realistic vs. plastic.

2. img2img SETTINGS - denoising strength sweet spot for "restore without inventing". If denoising is too high, SD invents a different face. Give me the safe range.

3. POSITIVE PROMPT - minimal. Just describe what's in the photo using the {{photo_subject}} info, in photographic terms. Avoid style tokens that would push it toward a different look.

4. NEGATIVE PROMPT - strong cleanup: blurry, jpeg artefacts, low quality, grain, plastic skin, oversharpened, AI face, distorted features.

5. FACE-FIX - CodeFormer or GFPGAN weight recommendation. Tell me what value to use if the face is the smallest part of the frame vs. the dominant subject.

6. INTEGRITY CHECK - three things to compare in the before vs. after: eye spacing, jawline, hairline. If any of those changed, drop denoising and retry. We are NOT making a new person.

7. CREDIT LINE - based on {{consent_credit}}, draft the one-line caption credit I'll put on the testimonial tile.

AU English. Respect the customer's likeness - restoration only, not reinvention.
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