80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
from __future__ import annotations
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import io
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import os
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from typing import Optional, Dict, Any
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import requests
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from PIL import Image
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from .base import ImageGenerationOptions, ImageGenerationResult, ImageGenerationProvider
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from utils.logger_utils import get_service_logger
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logger = get_service_logger("image_generation.stability")
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DEFAULT_STABILITY_MODEL = os.getenv("STABILITY_MODEL", "stable-diffusion-xl-1024-v1-0")
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class StabilityImageProvider(ImageGenerationProvider):
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"""Stability AI Images API provider (simple text-to-image).
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This uses the v1 text-to-image endpoint format. Adjust to match your existing
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Stability integration if different.
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"""
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def __init__(self, api_key: Optional[str] = None) -> None:
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self.api_key = api_key or os.getenv("STABILITY_API_KEY")
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if not self.api_key:
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logger.warning("STABILITY_API_KEY not set. Stability generation may fail at runtime.")
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logger.info("StabilityImageProvider initialized")
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def generate(self, options: ImageGenerationOptions) -> ImageGenerationResult:
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Accept": "application/json",
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"Content-Type": "application/json",
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}
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payload: Dict[str, Any] = {
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"text_prompts": [
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{"text": options.prompt, "weight": 1.0},
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],
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"cfg_scale": options.guidance_scale or 7.0,
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"steps": options.steps or 30,
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"width": options.width,
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"height": options.height,
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"seed": options.seed,
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}
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if options.negative_prompt:
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payload["text_prompts"].append({"text": options.negative_prompt, "weight": -1.0})
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model = options.model or DEFAULT_STABILITY_MODEL
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url = f"https://api.stability.ai/v1/generation/{model}/text-to-image"
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logger.debug("Stability generate: model=%s payload_keys=%s", model, list(payload.keys()))
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resp = requests.post(url, headers=headers, json=payload, timeout=60)
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resp.raise_for_status()
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data = resp.json()
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# Expecting data["artifacts"][0]["base64"]
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import base64
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artifact = (data.get("artifacts") or [{}])[0]
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b64 = artifact.get("base64", "")
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image_bytes = base64.b64decode(b64)
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# Confirm dimensions by loading once (optional)
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img = Image.open(io.BytesIO(image_bytes))
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return ImageGenerationResult(
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image_bytes=image_bytes,
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width=img.width,
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height=img.height,
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provider="stability",
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model=model,
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seed=options.seed,
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)
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