Build a complete brand with Qwen 3.7 and Qwen Image 2 Pro on Venice

Why Qwen 3.7 Plus and Qwen Image 2 Pro

The project pairs two models accessed through Venice, which anonymizes your conversations and shields your identity from the model providers. Qwen 3.7 handles the text work: brand world-building, product briefs, educational threads, and code. Qwen Image 2 Pro handles image generation and editing.

Venice offers two variants of Qwen 3.7, Max and Plus. Max may be more intelligent, but it lacks vision. This workflow uses Plus because you need vision later to evaluate brand consistency and to debug a landing page from screenshots. Qwen 3.7 also brings a 1 million token context window plus function calling, reasoning, and code optimization, at competitive pricing.

Build the brand bible and a reusable system prompt

Start by prompting Qwen 3.7 Plus to act as a senior brand strategist and produce a brand bible. Give it your brand name and identity. The example brand is Driftline, a fictional small-batch coffee roaster with a calm, coastal, early-morning, unpretentious vibe. Ask for specific deliverables: positioning, voice, world and lore, visual language, and a mascot character sheet.

Once you have the response, copy the entire thing into a system prompt so every future chat stays on brand. Open the chat settings, go to system prompt, name it (for example "Driftline Assistant"), and paste the bible with a short instruction.

You help create assets for the Driftline brand. Here is our brand bible:
[paste full brand bible]

Keep that system prompt activated. Next, generate a launch thread introducing the brand world. Ask for a numbered tweet thread in the brand voice, with no hashtags or emoji spam. Then create a style token you can reuse, a compact block of visual instructions you append to the end of every image prompt to lock in the look.

Create the mascot and an illustration set

Generate a character sheet for your mascot as a standard profile shot, appending the style token at the end of the prompt. Getting this right matters because the mascot becomes the basis for all later imagery. In the example, this produces Barnaby the Heron with the style token visible in the output.

Copy that prompt, switch the category to image, select Qwen Image 2 Pro, and generate. Save the result, then use the edit image feature to build a small illustration set in new poses while keeping the character locked.

Keep this exact character, same proportions, line weight, and palette,
but new pose: perched on a weathered dock piling at dawn, looking out
at the water, drinking his coffee. Same plain background treatment and
margins. [paste style token]

Keep the background plain. That makes it easy to superimpose the mascot onto product assets later.

Spin up a product line and its packaging

Open a new chat with the system prompt active so the model already knows the brand. Ask Qwen 3.7 for a product brief that fits the world. Request a line name, target customer, core value proposition, packaging copy, and a one-line art direction note for the packaging illustration. The example produces a cold brew line with finished copy ready to drop onto a label.

Switch to Qwen Image 2 Pro to make the packaging. Spell out exact label text (brand, product line, tagline, volume), include a mascot motif, and append the style token. Generate two square variants and pick one.

For the storefront image, edit your chosen label into a product hero shot: a tall matte cold brew can on wet coastal sand at dawn, soft fog behind, lots of negative space, generated at 16:9. Editing can drop the mascot or text, so use combine images to superimpose the saved mascot back on, then edit again to fix any subtext. Expect to go back and forth until it lands.

Generate content threads and assets in bulk

With finished copy and visuals, turn threads into images. Paste your intro tweet thread into a new Qwen 3.7 Plus chat and ask for an on-brand image generation prompt for each post. Because the system prompt is active, the prompts carry your illustration style and palette automatically.

To avoid generating images one at a time, use Venice agentic chat. The agent can produce all the images in one pass. Note that agentic chat does not run Qwen Image 2 Pro; it may fall back to a free open-source image model, which you can spot in weaker text rendering. For images where quality matters, generate them individually with Qwen Image 2 Pro or use Venice Studio, which lets you queue several prompts at once and run them faster.

For an educational thread, ask for a five-part explainer (one idea per part, each under 280 characters) and have each part end with a one-line diagram caption. Then ask for an on-brand image prompt per diagram with three or four short callout labels and the style token included.

Campaign kit, landing page copy, and vision checks

Return to the chat that holds your product details, copy that context, and ask Qwen 3.7 to generate campaign and landing page copy. Request a campaign concept, a headline in brand voice, five carousel slides, and a closing CTA line. Then ask for an image generation prompt for a landing page hero plus one image per carousel slide, and generate them with Qwen Image 2 Pro.

Because Qwen 3.7 Plus has vision, you can audit assets before they ship. With the system prompt active, paste an image and ask whether it meets your standards.

Does this image meet our brand visual standards?

The model analyzes the asset against your brand bible and tells you yes or no with reasoning, so you can keep or regenerate.

Build the landing page with the API and OpenCode

For the website, switch from the Venice interface to the API. Open the sidebar, generate a key, and review the available models. This build uses Qwen 3.7 Plus through OpenCode in the terminal. (Venice has a separate walkthrough, "An Alternative to Cloud Code," covering OpenCode setup.)

Put all your generated images in one folder and save your brand bible as a markdown file. Point OpenCode at the directory and describe the build: follow the brand bible, use the images present, and assemble a landing page for the product line. Paste in the product line details and the campaign concept with carousel slides, and instruct it to keep everything on brand.

Use plan mode first so the model proposes a structure and asks setup questions (tech stack, carousel behavior), then switch to build mode. OpenCode shows running token and dollar cost as it works. To fix layout issues, take a screenshot, drag it in, and describe the problem in plain language, for example correcting padding so text does not overlap the mascot. The vision model reads the screenshot and adjusts.

Costs and takeaways

The landing page build cost roughly 10 cents in tokens, with images adding maybe one to two dollars, far less than a recurring site-builder subscription. The result is a strong starting point that still needs polish, plus a full set of reusable assets: brand style guide, world and lore, mascot, product imagery, threads, and carousels.

The throughline is a single source of truth. The brand bible lives in your system prompt and your markdown file, so every model call inherits the same voice, palette, and rules. Qwen 3.7 supplies the creative text and vision, Qwen Image 2 Pro supplies the visuals, and Venice keeps the whole process anonymized.

Key takeaways

• Generate a brand bible first, then load it as a system prompt and a style token so every later asset stays consistent.
• Lock your mascot on a plain background so you can reuse and superimpose it across products and campaigns.
• Use Qwen Image 2 Pro for quality images and edits; use agentic chat or Studio when you need many images fast.
• Qwen 3.7 Plus vision lets you audit brand consistency and debug a landing page from screenshots, all built cheaply via the API and OpenCode.