Pollen-trap drawers: GPT Image 2 letters the mesh at 4K, 4cr discounted

The hive-entrance pollen-trap drawer letters mesh size in GPT Image 2 text-to-image at 4K, 4cr discounted.

A pollen-trap listing that reads is a drawer with a mesh you can quote: 5-mesh versus 6-mesh, the slot height at the entrance, the pull that actually ships. Mesh size is type. It is not atmosphere. Write the string. Generate the still at 4K. Proof the letters before you buy a second of motion.

Mesh size is a lettered spec

The buyer already knows what a hive looks like. They need to recognise the trap you sell: drawer depth, the mesh that lets bees through and holds pellets, the entrance reducer if this SKU has one. A paragraph that says “beekeeping, rustic apiary, golden hour pollen” will invent a cousin screen and a prettier box. That is a different listing.

Text-to-image is the right door when you do not have a still that must be frame one — a SKU that does not exist as a photo yet, a 4K hero for a dealer page, a drawer you will put on a spec sheet before the hive is built. If you already photographed this mesh, you are not on this row. Retouch the photo on an edit-image row, or overlay the string. GPT Image 2 will redraw the wire.

Keep people off the generate. A constructed beekeeper explaining “what you should run on this hive” is a presenter you did not hire. Prompt wood, mesh, light, and the letters: even light, deep focus, mesh readable, no new hive. The drawer is the subject. The mesh size is the claim.

Name the object. Name the type on the object. Name what must not appear. “5-mesh pollen trap drawer, white-painted wood, square entrance, letters 5-MESH on the face, no bees, no hands.” Do not bury the SKU under style adjectives and hope the model “gets the vibe.” Vibe is how you approve a pretty wrong still.

GPT Image 2 Text to Image is 4K, 4cr discounted

GPT Image 2 Text to Image is OpenAI’s high-fidelity image generate with strong prompt adherence, up to 4K. Category is text-to-image only. Catalog sticker is 4 credits, marked discounted. audio is null. There is no duration. requires_image is false because this row is the picture, not a motion pass hung off one.

Generate an image from text is the named agent job for the same empty-handed start. The text to image tool is the Versely door. This page is only the mesh still.

Quality settings on the row are 1K, 2K, and 4K. max_output_resolution is 4K. If the next step is a crop, a print, or a first frame, generate the still at the resolution the next row will honour, not at a thumbnail you plan to “fix in the animate.” Grain you invent at 1K becomes motion artefact at second two. Mesh is fine geometry. Buy 4K when the wire has to stay countable.

Aspect on this model is a long enum: auto, 1:1, 3:2, 2:3, 4:3, 3:4, 16:9, 9:16, 2:1, 1:2, 3:1, 1:3, 21:9, 9:21, 5:4, 4:5. Pick the ratio of the cut. Describing “vertical” in the prompt while leaving aspect on auto is how you get a 1:1 hero you then crop into a 9:16 hole.

This row is not an editor. There is no image-to-image category here. If the still is almost right and you only need the mesh label changed, that is a different catalog row — an edit-image model — not another GPT Image 2 roll that re-samples the hive. Rerolling a high-fidelity generate to fix two letters is how prompt adherence gets blamed for a routing error.

Proof at 100%. Count the wire if the listing claims a mesh. Read the letters. 5-MESH that comes back as S-MESH is a miss. Do not ship atmosphere that almost says the spec.

Overlay the string the generate should not guess

Mesh size is a claim. 5-mesh, 6-mesh, a slot height in millimetres — those strings are why a buyer opens the listing. A 5 that becomes a 6 for six frames is a mis-ship. A mesh-shaped scribble that does not match the SKU is not a rating.

Do not ask a video model to typeset the size. Video models redraw letterforms every frame. Text you cannot afford to get wrong does not live inside the motion.

Add a text overlay to a video burns one authored line for the whole clip — top, center, or bottom. That is the mesh size, a CTA, a SKU. It does not transcribe. Overlay after picture lock. Swap 5-mesh for the next drawer without regenerating the wood.

If GPT Image 2 already lettered the face cleanly, keep it. Crop so the letters stay in frame. Do not “enhance” the mesh in a video prompt. Prettier wire is a different count. If the generate’s type is unreadable, overlay the human-readable digits you typed from the listing. A picture of a mesh size is not a mesh size.

Use GPT Image 2 to create a lettered still you do not have. Use overlay to stamp a line the still is missing, or a CTA the plate will not hold. Do not glue those jobs into one prompt. Motion will smear lettering you have not locked. Get the words right in 4K first.

A drawer is not a talking beekeeper

A constructed keeper walking “what you should run before the flow” is an expert persona you do not need. Hold the drawer. Burn the mesh line. Do not generate the technician.

Do not prompt:

• Hands pulling the drawer onto a dummy hive
• Bees you did not photograph, filling a frame you will then have to defend
• A “master beekeeper” explaining mesh in front of your SKU
• A rival’s trap restyled as yours

Those are people and claims. If you need motion on an approved still — a slow push, a light rake, no new hive — animate that file on image-to-video after the letters pass. The still is the contract. Motion is allowed. A consult is not.

This is not a hive-tour /for. There is no beekeepers audience page to twin. Name the object. One drawer, one mesh string, one 4-credit still. A photoreal keeper prescribing a mesh is a second file, with a real named person, or no file.

The test: is the point a 4K lettered drawer that does not exist as a photo yet, at 4 credits discounted, with no still that must survive? Yes → GPT Image 2 Text to Image. If the point is this photographed mesh as frame one, you are on image-to-video or an edit row. If the point is a talking lesson, you are not on this leftover.

FAQ

Can I animate inside GPT Image 2 Text to Image?

No. Content type is image. There is no duration and no audio. Letter the mesh here, then open an image-to-video row for motion — or burn overlay on the still you already approved.

Why 4K if I am posting 1080p?

Because the still may become a first frame, a thumbnail, and a print crop. max_output_resolution is 4K; the quality enum includes 1K and 2K if you truly only need those. Mesh is fine geometry. Do not skip 4K if the wire will be counted.

Does this model edit an existing photo of my trap?

Not on this slug. Categories are text-to-image only. requires_image is false. An edit is a different row. This page is generate-from-text until a lettered still exists. If you already photographed the drawer, overlay the mesh string or point an edit-image row at two wrong letters.

What do 4 credits buy?

One catalog generate on this row: a still, up to 4K, billed at 4 credits discounted. It does not buy a video, a soundtrack, or a pack of angles inside one call. Approve the letters, then spend motion credits on purpose.