ControlNet is useful for controlling the composition, pose, edges and visual style of an image-generation workflow. It is not, however, a dependable Bengali typesetting tool. For WhatsApp greeting cards, the strongest process is to use ControlNet to create the artwork and add the Bengali message afterward in a design editor.
That distinction matters. Image models can produce attractive flowers, sunrise scenes and decorative borders, but they often distort Bengali characters, join letters incorrectly or generate unreadable pseudo-text. Separating image generation from typography gives you better quality, easier corrections and a reusable template system.
Start with the message and recipient
Decide what the greeting should communicate before opening a model interface. A message for parents should sound different from one for a college group, a customer or a close friend. Keep the copy short enough to read immediately on a phone.
Useful directions include:
- Warm family greeting: শুভ সকাল। আপনার দিনটি আনন্দ ও শান্তিতে ভরে উঠুক।
- Motivational greeting: নতুন সকাল, নতুন সম্ভাবনা। আজকের দিনটি সুন্দর হোক।
- Reflective greeting: প্রতিটি সকাল নতুন করে শুরু করার সুযোগ নিয়ে আসে।
- Professional greeting: শুভ সকাল। আপনার আজকের কাজ সফল ও продук্টিভ হোক।
Use standard Bengali spelling and ask a fluent reader to review the wording. If you need help building Bengali-language AI systems rather than just greeting images, compare the practical considerations in fine-tuning Bengali models for Indian railway support and running a Bengali small language model offline.
Choose the right WhatsApp format
Use the destination format to guide the canvas:
- Status: 1080 × 1920 pixels, a 9:16 vertical composition.
- Chat image: 1080 × 1080 pixels for a square card that works reliably in conversations.
- Landscape sharing: 1600 × 900 pixels when the design will also be posted on wider screens.
For a general-purpose greeting, 1080 × 1080 is the safest starting point. Keep important elements away from the edges because WhatsApp previews may crop or reduce them. Leave a generous text-safe area, especially if you plan to reuse the artwork for Status.
Export static cards as PNG when Bengali lettering and sharp decorative lines are important. JPEG is acceptable for photographic backgrounds, but use a high-quality setting to avoid compression around text.
Build the visual with ControlNet
A ControlNet workflow usually combines a base image, a conditioning input and a diffusion model. The exact names differ across interfaces, but the principle is consistent: give the model structural guidance instead of relying only on a text prompt.
1. Select a controllable reference
Prepare a simple sketch, edge map, pose reference or depth image. For a morning card, this could show a sun in the upper third, flowers near the lower corners and an open central area for text. A clean reference usually produces a more usable layout than a busy photograph.
2. Pick a suitable ControlNet condition
Use the conditioning method that matches your goal:
- Canny or soft edge: preserves borders, outlines and graphic arrangements.
- Lineart: works well for illustrated flowers, lamps, birds and decorative motifs.
- Depth: helps create a photographic scene with foreground and background separation.
- OpenPose: useful only when a person or character is central to the composition.
Avoid adding unnecessary controls. Too many competing conditions can create visual artefacts and make revisions harder.
3. Write a precise visual prompt
Describe the scene, mood, palette and empty space. For example:
> Serene Bengali morning greeting background, soft sunrise over a river, subtle shiuli flowers, elegant red and white accents, gentle watercolor illustration, clean central negative space, no lettering, no words, no logo.
The instruction “no lettering, no words” reduces—but does not eliminate—the chance of unwanted marks. Generate several variations, then select the one with the clearest space for the message rather than the most elaborate image.
4. Control strength and composition
If the reference layout is being ignored, increase the ControlNet influence gradually. If the output looks rigid or copies every artefact in the reference, reduce it. Keep the subject away from the message area and inspect the image at the same scale at which people will see it on a phone.
Add Bengali text outside the image model
Open the selected background in a tool that supports Bengali Unicode and proper shaping. Suitable options include a browser-based design editor, a desktop graphics application or a lightweight mobile editor. Install a Bengali font with clear glyphs and test it on Android devices, since font rendering can differ across platforms.
Recommended typography practices:
- Use one display font and, at most, one supporting font.
- Prefer high contrast: dark text on a pale panel or light text on a dark overlay.
- Keep the main greeting to one or two lines.
- Increase line spacing so Bengali vowel signs do not appear crowded.
- Do not stretch or horizontally compress Bengali text.
- Add a semi-transparent panel, gradient or shadow when the background is detailed.
- Keep names, blessings and signatures on separate lines for easy editing.
Paste the message as Unicode text rather than as an image generated by the model. Zoom in to inspect conjuncts, vowel marks and punctuation. Read the final card aloud or ask a Bengali speaker to proofread it before publishing.
Make the template reusable
Save a master file with separate layers for the background, decorative elements, main greeting, sender name and date. Create variants for family, friends, customers and festivals without regenerating the entire image. This is faster, more consistent and less expensive when producing cards regularly.
For a local business, add a small brand mark and contact detail without allowing them to overpower the greeting. If the template supports a customer-facing workflow, review programmable WhatsApp calling solutions in India and WhatsApp Business Calling APIs for sales teams separately; a greeting image should not be confused with an automated customer-support message.
Quality, rights and privacy checks
Before sharing, run this checklist:
- Confirm every Bengali word, name and date.
- Check readability on a small phone screen and in dark mode previews.
- Remove model artefacts, duplicate flowers and accidental symbols.
- Confirm that reference images, fonts and decorative assets permit your intended use.
- Avoid uploading identifiable family photographs to an unfamiliar service.
- Export a compressed copy for WhatsApp while retaining the high-resolution master.
- Send the card to one test contact before distributing it widely.
If you plan to automate generation, keep the language and image stages separate: a Bengali language model can draft or classify messages, while ControlNet handles visual composition. For local or privacy-sensitive workflows, deploying quantized models for Indian-language WhatsApp bots offers relevant implementation ideas, although image generation may still require a separate GPU-capable setup.
A practical 2026 workflow
A reliable process is: write and proofread the Bengali copy, sketch the layout, generate a text-free background with ControlNet, select the cleanest result, add Unicode Bengali typography in a separate editor, export PNG or high-quality JPEG, and test it on WhatsApp. This approach produces cards that are culturally appropriate, legible and easy to update—rather than visually impressive images whose greeting cannot be read.
Use ControlNet for what it does best: preserving structure and guiding visual style. Use a proper typography tool for what it does best: rendering Bengali accurately.