Can DeepSeek generate images? Native image generation is not currently documented for the standard DeepSeek app or chat website. DeepSeek’s separate Janus-Pro model can generate pictures from text. The practical route is to open a Janus deployment, such as the demo linked from the official Janus repository, or use DeepSeek to help write a prompt for another image generator.
The distinction is between the chat product you open and the model that creates the picture. News about a DeepSeek image model does not automatically mean that the same feature is available inside your regular chat.
Last reviewed: October 13, 2026.
Which DeepSeek tools can generate images?
The name “DeepSeek” can refer to the company, its consumer app, its API, or a separately released model. Use the following distinctions when choosing where to start.
| Product or service | Image-generation status | What to use it for |
|---|---|---|
| Official DeepSeek app and web chat | No native text-to-image workflow confirmed in current public product documentation. | Drafting and refining an image prompt. |
| Official DeepSeek API | No image-generation output documented in the current chat API. | Text responses and, with a supported model, analysis of image inputs. |
| Janus-Pro | Supports text-to-image generation. | Creating pictures through a hosted demo or your own deployment. |
| A third-party “DeepSeek Image Generator” | Depends on the model and service it actually runs. | Check the operator, image model, and access terms first. |
DeepSeek’s official product page announces visual-understanding capabilities, while its official Android listing describes the consumer assistant. Neither provides a native image-generation workflow for the standard chat product. This is a statement about the available documentation, not a claim that every app version has been tested.
Janus-Pro has a different role. Its official model card describes a model that handles both visual understanding and generation. “Pro” is part of the model’s name; the model page is not an offer for a paid image-generation tier inside DeepSeek Chat.
Understanding an image is different from creating one
Image understanding starts with a picture you already have: for example, asking what is in a photograph or what a screenshot says. Image generation starts with an instruction and produces a new picture. Photo editing is another task: changing an existing image while preserving the parts you want to keep.
DeepSeek’s Vision documentation says the deepseek-flash model accepts images for tasks such as describing pictures and analyzing charts. Its Chat Completions documentation describes text responses, including structured JSON. Accepting an image as input does not establish a capability to return a generated or edited image.
For analyzing an existing picture rather than generating one, use our DeepSeek Vision walkthrough.
If you ask for a picture and receive a paragraph describing it, you have received text. Rewording that request cannot by itself add an image-generation tool to the interface.
How to access the official Janus-Pro demo
Start with the Janus-Pro-7B Space published by deepseek-ai. It is the hosted demo linked from the official repository. The Space page and model-download page are different: the Space is where the browser interface runs.
The steps below follow the demo’s published interface. They describe the available controls; successful generation was not tested for this guide.
- Open the demo and let the application load.
- Select Text-to-Image Generation.
- Enter a description of the picture you want. Include the main subject, setting, composition, and visual style.
- Leave the advanced settings at their defaults for an initial attempt, then select Generate Images.
- If the request completes, inspect the pictures in the Generated Images gallery.
Use a simple first scene so you can judge whether the main subject and composition match your request. Once you have a useful result, change one thing at a time, such as the background or color palette, instead of rewriting every detail.
If the demo does not load or cannot finish
Read the message shown by the hosting service before changing your prompt. An access limit or unavailable runtime calls for a different response than an image that looks wrong. A status label on the Space page is not a guarantee that your generation request will finish.
For a temporary availability problem, you can return later or use the prompt-writing workflow below with an image generator you already have access to. Local Janus deployment is another option described in the repository, but it involves software setup and computing resources. It is a separate technical project, not a setting you enable in DeepSeek Chat.
Use DeepSeek to write a prompt for another image generator
You can use a text conversation to organize a visual idea before generating it elsewhere. Give DeepSeek the subject, intended use, style, and constraints, then ask for a finished image prompt. This is useful when you know what the picture should communicate but need help describing the composition.
For example, copy this request into DeepSeek:
Write one text-to-image prompt for a clean editorial illustration of a neighborhood bookstore at dusk. Include two large windows, warm indoor light, a navy-blue awning, and a quiet sidewalk. Keep the composition simple and leave empty space above the storefront for a headline I will add later. Do not include people, readable text, logos, or watermarks. Return only the image prompt.
Read the response before using it. Remove anything that changes your idea, then paste the finished prompt into an actual image-generation tool. If the tool has separate controls for dimensions or aspect ratio, set those in the tool rather than expecting a phrase in the prompt to override them.
One browser-based option is Adobe Firefly, which supports generating images from text. Adobe currently offers a free plan with limited daily generations on selected models; broader access is available through paid plans. Its generative-access documentation explains that the available models and limits can change.
In this workflow, DeepSeek supplies the written prompt, and the image model selected in Firefly creates the picture. The finished result should not be described as an image generated by DeepSeek merely because DeepSeek helped with the wording.
When revising, identify a specific mismatch: “the storefront is too small,” “the colors are too bright,” or “there is no room for the headline.” Ask DeepSeek to revise that part of the prompt, then generate again in your image tool. Keep the parts that already match your goal.
Is DeepSeek image generation free?
There are free ways to access or experiment with Janus-Pro, but the answer depends on how you run it. A downloadable model, a shared demo, and a commercial hosting service have different costs and limits.
- Hosted demo: the official Janus-Pro Space uses ZeroGPU. Hugging Face describes existing ZeroGPU Spaces as free to use, with usage quotas and queue priority that vary by account tier. Check the access or sign-in message shown to you instead of assuming unlimited, anonymous use.
- Model download: DeepSeek publishes Janus-Pro model files through its official model page. Access to the files does not provide the hardware needed to run them.
- Local deployment: running the model uses your computer’s resources and requires setup. Renting a cloud machine introduces a separate hosting cost.
- Third-party service: the operator sets its own free allowance, subscription, or usage charges. Those terms are not established by the DeepSeek name.
DeepSeek API token pricing is not a quote for producing a Janus image. The documented chat API and a separately hosted image model are different services.
For commercial projects, check the applicable model license and your hosting service’s terms. Model access alone does not settle the rights associated with every image you create.
Check who operates a “DeepSeek Image Generator” website
Use links from DeepSeek’s official website and official repositories to establish the connection. On Hugging Face, check the full organization and Space name, not just the page title. For the demo above, the publisher is deepseek-ai.
For another service, look for the operator’s identity and the model used to render images. If neither is stated, you do not have enough information to call it an official DeepSeek service or to know which model created its output.
What to check before using a generated image
Janus-Pro’s research paper describes limitations in fine detail, including small facial regions. That matters when a picture will be cropped, enlarged, or used where small objects must remain clear.
Resolution also needs context. The published demo code generates a base image at 384 × 384 pixels and then applies an upscaling stage. Its displayed output can therefore be larger. A larger final file does not mean that the underlying image was generated natively at that size.
Inspect your result at the size you intend to use. Check whether the subject is recognizable, edges look coherent, important details survive the crop, and any lettering is correct. For a design that needs exact text, generate the artwork first and add the wording in a design editor where you can control it.
Photo editing and code-generated graphics need separate workflows
Do not assume that understanding an uploaded photo makes a tool a photo editor. In the published Janus-Pro demo, the image-understanding task returns an answer about the input; the generation task takes a text prompt. For a task such as changing a jacket’s color while preserving the same person, choose an implementation that explicitly supports editing the source image.
Likewise, an assistant can supply SVG markup or plotting code that becomes a graphic when rendered in suitable software. That can be useful for a simple icon or chart, but it is a code-rendering workflow. Evaluate the actual output you need: editable geometry for a diagram, a modified version of an existing photo, or a newly generated illustration.