Krea · AI image generator
Use Krea 2 with Pollo AI 2.0 Beta
Aesthetic image foundation model designed for expressive generation and creative control. See how the model can support multi-model AI video and image generation, from initial inputs to a finished creative asset.
Last checked August 27, 2026. Model availability inside the referenced brand product is not implied; confirm its current selector and terms.
What Krea 2 can do
Fast Turbo inference
LoRA-compatible style adaptation
Broad aesthetic and editorial range
Useful source-frame creation for image-to-video
Accepted creative inputs
- Prompt
- Optional style or LoRA direction
Best-fit workflows
- Moodboards
- Campaign keyframes
- Editorial imagery
- Visual exploration
Available routes
- Turbo and Turbo LoRA
A practical Pollo AI 2.0 Beta workflow
- Define the deliverable, audience, aspect ratio, duration and quality requirements before selecting the model.
- Prepare only the references that control identity, composition, movement or audio; remove contradictory inputs.
- Run a short comparison batch and hold the prompt structure steady while testing one variable at a time.
- Measure prompt adherence, identity, geometry, temporal stability, audio fit and the cost per usable output.
- Finish the selected result with human editing, factual review, rights checks, captions and channel-specific exports.
Limitations and review checks
Model availability, endpoint names, duration, resolution, reference limits and pricing can change. Longer clips and complicated reference sets can amplify identity drift, object deformation, flicker or unwanted camera movement. Treat generated dialogue, text and factual details as material that requires human verification. Confirm current controls at the linked model source and official provider before committing a production budget.
For Pollo AI 2.0 Beta, the useful question is whether Krea 2 improves multi-model AI video and image generation without increasing revision cost or weakening provenance. Keep the creative requirements, references, prompts, model version and final approval together.
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