ControlNet is useful for controlling the composition, pose, edges, depth, and visual structure of an AI-generated image. It is not, by itself, a Marathi copywriting or text-rendering tool. The most reliable workflow is therefore hybrid: use ControlNet to create the artwork, then add Marathi text in a design editor where Devanagari spelling, spacing, and legibility can be checked properly.
This distinction matters because image models frequently produce distorted or incorrect lettering, especially in Indic scripts. If your goal is a WhatsApp image that family groups, local businesses, or community pages can actually read, generate the background first and place the final message separately.
Choose the right WhatsApp format
Start with the destination instead of the prompt. Use:
- 1080 × 1080 pixels for a square image shared in chats or posted to a feed.
- 1080 × 1920 pixels for WhatsApp Status.
- 1200 × 628 pixels only when the design will also be used for a link preview or landscape post.
Keep important text inside a generous safe area. WhatsApp previews may crop images, and phone screens vary. A simple layout with one focal image, a short Marathi greeting, and strong contrast usually performs better than a crowded poster.
Build a Marathi-first creative brief
Before opening ControlNet, define four elements:
- Audience: family groups, customers, students, farmers, or a community organisation.
- Tone: warm, devotional, motivational, seasonal, or professional.
- Visual subject: sunrise, flowers, tea, a village landscape, a temple silhouette, or a clean abstract background.
- Message length: ideally one headline and one short supporting line.
Use natural Marathi rather than translating English word for word. Common starting points include “शुभ प्रभात!”, “आजचा दिवस आनंदाचा जावो.”, and “नवीन दिवस, नवीन संधी.” Ask a fluent Marathi speaker to review the final wording if the design is public-facing. For more systematic language quality work, see this guide to fine-tuning AI models for Marathi dialects.
Use ControlNet to control the image, not the lettering
A practical Stable Diffusion workflow typically combines a base model with a ControlNet preprocessor. Select the control type according to the image you want to preserve:
- Canny or lineart: useful for clean illustrations, borders, and poster-like compositions.
- Depth: useful for a sunrise, landscape, or layered scene with foreground and background separation.
- OpenPose: useful only when a person’s pose is central to the design.
- Tile or reference-based control: useful when you need texture and detail while retaining a source image’s structure.
Your prompt should describe the image composition, lighting, colour palette, and empty space for text. For example:
> Warm Marathi morning greeting background, soft golden sunrise over green hills, gentle marigold flowers in the lower corners, clean open space in the upper centre for Devanagari text, peaceful Indian aesthetic, high contrast, no text, no letters, no watermark.
The negative prompt should explicitly exclude writing:
> text, typography, letters, words, logo, watermark, distorted script, blurry foreground, cluttered composition.
Generate several variations rather than trying to perfect one image. Check whether the blank area is genuinely usable after generation; an attractive background with no readable text zone is still a poor template.
Add accurate Marathi text in a separate editor
Import the selected image into a tool such as Canva, Figma, Photopea, GIMP, or another editor that supports Devanagari fonts. Add the greeting as a separate text layer. Suitable font choices depend on the editor, but test the actual rendering rather than assuming every font supports Marathi well.
Follow these rules:
- Use a font with clear Devanagari forms and sufficient weight for mobile screens.
- Keep the main greeting short, usually under eight to ten words.
- Avoid placing text over detailed foliage, bright sunlight, or faces.
- Use a translucent panel, shadow, or outline when contrast is weak.
- Check the matras, conjuncts, anusvara, and punctuation at 100% zoom.
- Test the image on an ordinary phone before sharing it widely.
Do not ask the image model to render the final phrase inside the artwork. Even when a few characters look correct, the result may contain subtle spelling or glyph errors that are hard to notice in a thumbnail.
Create reusable template variants
A good template system separates fixed design elements from editable content. Keep the logo, colour palette, margins, and text hierarchy consistent. Then create variants for:
- Daily greetings
- Monday motivation
- Festival messages such as Gudi Padwa or Diwali
- Customer updates for local shops
- Community or public-service announcements
For a business, include a small, unobtrusive name or contact detail instead of turning the greeting into an advertisement. If the template will support automated replies or campaigns, review WhatsApp marketing automation for Indian businesses before connecting it to a messaging workflow.
Quality and compliance checklist
Before exporting, verify:
- Marathi spelling and intended meaning
- Correct use of Devanagari punctuation
- Readability on a small screen
- No accidental AI-generated text in the background
- Proper image dimensions and file size
- Ownership or permission for reference images and logos
- No misleading religious, political, medical, or financial claims
Export a high-quality PNG when text sharpness is the priority. Use JPG when file size matters and the background is photographic. Keep an editable master file so you can correct a typo without regenerating the artwork.
A stronger workflow for developers
If you are building this as a product rather than making occasional images, store the Marathi copy separately from the image-generation prompt. Use a template schema containing the audience, tone, text, font settings, background prompt, output dimensions, and approval status. Add a human review step before publishing.
For language-heavy applications, a Marathi model or retrieval layer can suggest culturally appropriate copy, while ControlNet handles visual consistency. Builders working on broader Marathi language tooling may also find open-source Marathi language models and this guide to creating a small language model for Marathi useful starting points.
If the final asset is part of a conversational campaign, generate image templates independently from the bot’s message logic. WhatsApp delivery, opt-in requirements, template policies, and automation are separate engineering concerns. A WhatsApp Business Calling API for sales teams is relevant only when voice outreach is required; it does not replace careful image and copy production.
Bottom line
The best way to make Marathi WhatsApp Good Morning templates using ControlNet is to use the model for visual structure, not final Marathi typography. Define a concise Marathi message, generate a controlled background with a clear text zone, typeset the greeting in a Devanagari-capable editor, review it on a phone, and export reusable variants. This approach is faster, more accurate, and easier to maintain than asking an image model to create the entire poster in one step.
Apply for AI Grants India
If you are building an Indian-language AI product, creator workflow, or WhatsApp automation tool, explore AI Grants India for funding opportunities and practical guidance.