kling/kling-v1-t2i

"## What Kling V1 T2I Does
Kling V1 T2I is an older-generation text-to-image model maintained for backward compatibility. It generates images from text prompts and is intended for legacy integrations rather than new projects.

Key Features

• Text-to-Image Generation: Creates images from bilingual (Chinese/English) prompts up to 2,500 characters.
• Negative Prompts: Accepts a negative_prompt (up to 2,500 chars) to exclude unwanted elements.
• Wide Aspect-Ratio Support: Offers 16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3, and 21:9.
• Batch Output: Generate 1–9 images per request via n.
• Asynchronous Architecture: Uses a ““Create Task → Poll Result”” API workflow with Bearer-token authentication.

How to Use Kling V1 T2I

1. Write a prompt (Chinese or English, up to 2,500 characters) describing the image, plus an optional negative_prompt.
2. Submit a POST request to the /kling/kling-v1-t2i endpoint with your prompt and optional negative_prompt, aspect_ratio, resolution, and n.
3. Receive an AsyncTaskResponse with a task_id and ““pending”” status.
4. Poll GET https://api.modellix.ai/api/v1/tasks/{task_id} to monitor the task.
5. Once complete, retrieve and download the generated image(s).

Best Use Cases

• Legacy Integrations: Keep existing pipelines that depend on Kling V1 running.
• Backward-Compatibility Testing: Reproduce or validate older outputs.
• Maintenance Workflows: Support apps not yet migrated to newer Kling versions.

Tips for Better Results

• Prefer a Newer Model for New Work: This is a legacy model — use Kling V3 T2I for new creations unless V1 is explicitly required.
• Use Negative Prompts: Add a negative_prompt to filter out unwanted elements and improve results.
• Note the 1K Limit: V1 supports 1K resolution only — choose a newer version if you need higher resolution.
• Generate in Batches: Increase n (up to 9) to compare multiple options per request.
• Write Bilingual-Aware Prompts: Both Chinese and English are supported — keep prompts clear and specific."

参数

价格

单位: $/img