AI candle product photos: glass jar, flame and wax on Sume

Photograph a candle without a studio: edit one packshot with reference images on Sume, pick 1:1 or 4:5, and compare prices from $0.025 to $0.10 per image.

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To get candle photos from one packshot, send the packshot as an input_references URL to an edit-capable model on Sume and describe the scene in the prompt. Qwen Image and Grok Imagine cost $0.025 per image, Flux 2 Pro $0.0375, Seedream 4.5 $0.05 and Nano Banana 2 $0.10 at its default size, all read from the catalog on 2026-10-03. Candles are a hard subject because they mix glass, wax and a small bright flame, so generate a few variants and keep the best.

Why candles are tricky

A candle jar has a curved glass wall, a printed label, a matte wax top and, in some shots, a flame. Each one is a different surface for a model to invent. The way to protect your product is to start from a real packshot and tell the model to keep the jar, label and lid identical, rather than ask for a candle from text alone. Text-only generation would redraw your label.

Pick a model and ratio

Every row below accepts reference images. n is the number of images per call; Grok Imagine returns one per call and the others up to four. Product catalog pages mostly want squares, and social feeds like 4:5, which all rows except Grok Imagine list (read 2026-10-03).

Reference-edit models for candle shots on Sume (read 2026-10-03)
ModelPrice per imageEdits with image_urls4:5n per call
Qwen Image (qwen/qwen-image)$0.025yesYes1 to 4
Grok Imagine (x-ai/grok-image)$0.025yesNo1
Flux 2 Pro$0.0375yesYes1 to 4
Seedream 4.5$0.05yesYes1 to 4
Nano Banana 2$0.10yesYes1 to 4

A scene prompt that protects the label

Name what must not change and give the scene one light source. Ask for a small steady flame only if you need it; unlit shots are safer because a lit flame is the part most likely to look off. Do not ask the model to render a long label text; OpenAI's image guide (read 2026-10-03) says its models can still struggle with precise text placement and clarity, so keep real label text from your own packshot.

curl -s https://api.sume.com/v1/images \
  -H "Authorization: Bearer $SUME_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "black-forest-labs/flux.2-pro", "aspect_ratio": "4:5", "n": 4, "input_references": [{"type": "image_url", "image_url": {"url": "https://example.com/candle-packshot.png"}}], "prompt": "Keep the candle jar, label and lid exactly as in the reference. Place it on a linen-covered table beside a window, soft morning light from the left, shallow depth of field, unlit."}' 

What a set costs

Four variants of one scene on Flux 2 Pro are 4 x $0.0375 = $0.15. Eight scenes of four variants each on Qwen Image come to 32 x $0.025 = $0.80. Failed generations are not billed, per the docs, so retries after a failure cost nothing extra.

What Sume does not do

It does not know your real candle. Check the shape, label and color against the packshot before you publish, and keep your original photo as the source of truth.

Sources

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