How to use and evaluate “Warm Indoor Selfie Portrait”
This selfie prompt is designed as an editable starting point, not a guaranteed one-click result. The notes below translate its JSON into a readable visual plan, identify the controls that matter, and show how to diagnose a weak generation without simply adding more text.
Prompt-specific blueprint
Scene and atmosphere
- Location
- A cozy indoor room with a sheer white curtain featuring soft vertical folds directly behind the subject and a heavy emerald-green velvet curtain partially visible on the right side.
- Time
- indoor
- Mood
- warm, intimate, feminine, elegant, natural
Visual treatment
- Photography
- Ultra photorealistic smartphone selfie, realistic iPhone 17 Pro RAW photography, candid amateur aesthetic, analog-inspired softness, subtle vintage filter, hyper-realistic skin rendering, ultra-fine details, slight natural grain, masterpiece quality.
- Camera
- Front-facing selfie, close-up composition, straight-on front angle, 9:16 aspect ratio.
- Lighting
- Soft diffused indoor lighting with gentle highlights on the skin and jewelry, warm natural glow, no harsh shadows.
Composition and wardrobe
- People Count Label
- one uploaded reference person
- People Count
- single
- Reference Instruction
- Use one uploaded reference woman as the only subject. Preserve her identity with extremely high consistency while adapting facial orientation, expression, gaze, and pose naturally to the requested composition rather than copying them from the reference photo.
- Wardrobe · Top
- Simple fitted black camisole with thin straps and a wide round neckline.
- Wardrobe · Accessories
- Very delicate gold chain with an open-heart pendant · Large gold hoop earrings
- Wardrobe · Makeup
- Fresh dewy skin, warm peachy-pink blush, thick lifted eyelashes, thin eyeliner, naturally shaped eyebrows, soft matte nude-pink lips.
Recommended workflow
- 01
Prepare the input
Choose reference images you have permission to use. For Warm Indoor Selfie Portrait, prioritize a clear subject and avoid unrelated people or private details in the frame.
- 02
Lock the visual plan
Confirm subject count, framing, scene, and lighting before adding finishing language. Resolve conflicts such as close-up versus full-body composition.
- 03
Adapt for one model
Start with Midjourney. Keep a baseline generation and document the exact model version, references, aspect ratio, and visible settings.
- 04
Revise from evidence
Name the visible failure, change one instruction block, and compare it against the baseline. Keep only revisions that improve the intended criterion.
Model adaptation notes
Midjourney
Translate the core fields into concise natural language and add current version-specific reference or aspect controls in Midjourney itself.
Gemini
Provide the JSON with clearly labeled reference images. Restate any ignored constraint in plain language without duplicating the whole prompt.
ChatGPT Image
Keep the JSON structure, attach references in the same conversation, and use follow-up edits for one local correction at a time.
Stable Diffusion
Move observable failures into the interface’s negative prompt field and document the checkpoint, sampler, guidance, and resolution used.
Flux
Preserve the semantic hierarchy but favor coherent natural language; weighting and negative-prompt behavior depend on the host workflow.
A compatibility label means the visual intent can be adapted; it does not promise identical output across providers, versions, or settings.
Prompt-specific quality checklist
- Soft pillow behind the subject
- Dark hair tied back in a casual effortless updo
- Long softly wavy face-framing strands around the face
- Warm elegant atmosphere
- Natural skin texture
- No plastic-looking skin
- Classic glowing white vertical timestamp in the bottom-left corner reading '25 Mar 11'
Failures to check before publishing
- identity change
- different hairstyle
- different hair color
- different facial structure
- copied pose from reference
- copied gaze from reference
- copied facial expression from reference
Why the editable controls matter
Gender
Required identity direction for the reference subject.
People count
Default is a single uploaded reference person.
Identity or subject drift
Reduce competing style language, improve the reference, and separate stable traits from pose, gaze, and expression.
Composition breaks
Check whether crop, shot distance, aspect ratio, subject count, and required objects can all be satisfied in one frame.
Artificial lighting or texture
Name a motivated light source and believable material behavior before adding grain, grading, sharpness, or resolution terms.
@cankirkgoz
Comments
Share the result you got, attach an image, and reply to other people's results.
You need to sign in to comment.