modules/api/images.py - main - githubmirror/text-generation-webui

modules/api/images.py
80 строк3 KB
oobabooga
Image generation: Embed generation metadata in API image responses
05 апр 2026, 09:15
05 апр 2026, 09:15c63a79e
"""
OpenAI-compatible image generation using local diffusion models.
"""

import base64
import io
import json
import time

from PIL.PngImagePlugin import PngInfo

from .errors import ServiceUnavailableError
from modules import shared


def generations(request):
    """
    Generate images using the loaded diffusion model.
    Returns dict with 'created' timestamp and 'data' list of images.
    """
    from modules.ui_image_generation import build_generation_metadata, generate

    if shared.image_model is None:
        raise ServiceUnavailableError("No image model loaded. Load a model via the UI first.")

    width, height = request.get_width_height()

    # Build state dict: GenerationOptions fields + image-specific keys
    state = request.model_dump()
    state.update({
        'image_model_menu': shared.image_model_name,
        'image_prompt': request.prompt,
        'image_neg_prompt': request.negative_prompt,
        'image_width': width,
        'image_height': height,
        'image_steps': request.steps,
        'image_seed': request.image_seed,
        'image_batch_size': request.batch_size,
        'image_batch_count': request.batch_count,
        'image_cfg_scale': request.cfg_scale,
        'image_llm_variations': False,
    })

    # Exhaust generator, keep final result
    images = []
    for images, _ in generate(state, save_images=False):
        pass

    if not images:
        raise ServiceUnavailableError("Image generation failed or produced no images.")

    # Build response with per-batch metadata (seed increments per batch)
    base_seed = state.get('image_seed_resolved', state['image_seed'])
    batch_size = int(state['image_batch_size'])

    resp = {'created': int(time.time()), 'data': []}
    for idx, img in enumerate(images):
        batch_seed = base_seed + idx // batch_size
        metadata = build_generation_metadata(state, batch_seed)
        metadata_json = json.dumps(metadata, ensure_ascii=False)
        png_info = PngInfo()
        png_info.add_text("image_gen_settings", metadata_json)
        b64 = _image_to_base64(img, png_info)

        image_obj = {'revised_prompt': request.prompt}

        if request.response_format == 'b64_json':
            image_obj['b64_json'] = b64
        else:
            image_obj['url'] = f'data:image/png;base64,{b64}'

        resp['data'].append(image_obj)

    return resp


def _image_to_base64(image, png_info=None) -> str:
    buffered = io.BytesIO()
    image.save(buffered, format="PNG", pnginfo=png_info)
    return base64.b64encode(buffered.getvalue()).decode('utf-8')