general_t2i#

Overview#

General Text-to-Image is a customizable benchmark adapter for evaluating text-to-image generation models with user-provided prompts and images.

Task Description#

  • Task Type: Custom Text-to-Image Evaluation

  • Input: User-provided text prompts

  • Output: Generated images evaluated using configurable metrics

  • Flexibility: Supports local prompt files

Key Features#

  • Flexible custom evaluation framework

  • Supports local prompt file loading

  • Configurable metrics (default: PickScore)

  • User-defined subset naming from file path

  • Compatible with pre-generated images

Evaluation Notes#

  • Default configuration uses 0-shot evaluation

  • Primary metric: PickScore (configurable)

  • Supports custom dataset paths and prompt files

  • Automatically extracts subset name from file path

  • Can evaluate existing images via image_path field

Properties#

Property

Value

Benchmark Name

general_t2i

Dataset ID

general_t2i

Paper

N/A

Tags

Custom, TextToImage

Metrics

PickScore

Default Shots

0-shot

Evaluation Split

test

Data Statistics#

Statistics not available.

Sample Example#

Sample example not available.

Prompt Template#

No prompt template defined.

Usage#

Using CLI#

evalscope eval \
    --model YOUR_MODEL \
    --api-url OPENAI_API_COMPAT_URL \
    --api-key EMPTY_TOKEN \
    --datasets general_t2i \
    --limit 10  # Remove this line for formal evaluation

Using Python#

from evalscope import run_task
from evalscope.config import TaskConfig

task_cfg = TaskConfig(
    model='YOUR_MODEL',
    api_url='OPENAI_API_COMPAT_URL',
    api_key='EMPTY_TOKEN',
    datasets=['general_t2i'],
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)