AskSary is built for the whole path from an idea to finished output, not just a chat response. AskSary Production Studio combines a connected Drive workspace, generation tools and an editable timeline: images, video, voice-over, music and podcasts can enter the same project instead of becoming isolated downloads.
Creative Suite Drive and Gallery keep projects and assets actionable. An image can be edited in Flux, animated, analysed or sent to Video Creator as a reference. A video can be analysed, have its audio extracted, be stitched, continue in Video Studio, or contribute a first or final frame to the next generation. Audio can be transcribed or developed into a podcast; documents can be analysed, added to Knowledge Base, converted or turned into a podcast. Projects can be reopened, duplicated and exported.
The platform also includes Image Creator, Flux-assisted Photo Editor, Video Creator and Video Editor, Music Studio, Code Lab, Web Architect, Game Engine, presentations, Knowledge Base, persistent conversation context, realtime voice, AUTO routing and manual model choice. Themes, optional mood music and live wallpapers make the workspace personal without changing the work itself.
A registered account uses one normal consumer model and tool catalogue. AskSary offers free chat on selected models from OpenAI, Gemini and DeepSeek; the live mix can change as providers evolve. Provider-backed work is estimated in credits before it runs and remains subject to safety and genuine provider capacity. New registered accounts receive a one-time 100-credit welcome grant; credits govern compute, not access to a separate consumer technology tier.
GPT Image — what it's best at
Registered AskSary accounts can choose from the current image catalogue for text-to-image work. The selected model and output settings determine the credit estimate; access is not separated into consumer technology tiers.
Describe the subject, composition, lighting, style, aspect ratio and any text that needs to appear. A precise brief is more useful than assuming the model will infer your brand or intended layout.
Creating a new visual from scratch when you do not already have a source image to preserve.
Flux Kontext — what it's best at
Flux Pixel Edit starts from an uploaded image and applies the requested change. It is intended for jobs such as changing a background, adjusting a product colour, replacing an object or relighting a scene while trying to preserve the rest.
“Preserve” is a goal, not a pixel-perfect guarantee: generative editing can still alter details. Check faces, logos, product geometry and text before publishing the result.
Editing an existing image when the original subject, composition or product needs to remain recognisable.
Head to head
| Capability | GPT Image | Flux Pixel Edit |
|---|---|---|
| Generate from scratch | ✓ Primary workflow | Requires a source image |
| Edit an existing photo | Not the AskSary edit workflow | ✓ Primary workflow |
| Preserve the source composition | Not applicable | Designed to preserve it, but verify details |
| AskSary access | Registered accounts choose the image model | Credit-priced execution, subject to capacity |
When to use which
- Use GPT Image when you're creating a new image and don't have a source photo to start from.
- Use Flux when you have a real photo that's almost right but needs a specific element changed.
- Common workflow: Generate a base image with GPT Image, then upload the result to Flux for a specific refinement.
Using both together on AskSary
You can generate a concept with GPT Image and then pass that output to Flux for a targeted change. For real products, use an actual source photo rather than relying on AI to reproduce product details, and review each edit for brand, label and geometry errors.
Related reading: Best AI Image Generators in 2026 — Ranked · Edit Any Photo with a Text Prompt · AI Product Photography for E-commerce
Explore AskSary
Create a registered account to open the normal consumer catalogue and receive a one-time 100-credit welcome grant. Provider-backed work uses credits; additional credits can support more provider-backed work.
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