157 lines
5.4 KiB
Python
157 lines
5.4 KiB
Python
"""
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EPEEKit 集中配置。
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所有可调参数从环境变量读取，每次调用实时读取（不缓存），确保 load_dotenv() 后生效。
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"""
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import os
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from typing import Any
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def get_llm_model() -> str:
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return os.getenv("LLM_MODEL", "gpt-4o-mini")
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def get_llm_max_iterations() -> int:
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return int(os.getenv("LLM_MAX_ITERATIONS", "5"))
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# ─── 图像模型注册表 ─────────────────────────────────────
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#
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# 每个模型的配置说明：
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# id — 前端/API 使用的短 ID
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# name — 显示名称
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# provider — 生成服务提供者（对应 image_gen.py 中的 Provider）
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# model_id — Replicate 上的完整模型 ID
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# description — 前端下拉列表中的说明文字
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# supports_ref_image — 是否原生支持参考图输入（IP-Adapter 等）
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# ref_image_param — 传给 Replicate 的参考图参数名（模型间可能不同）
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# num_images_param — 批量生成参数名（Flux 用 num_outputs，Kolors 用 number_of_images）
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# default_params — 默认推理参数
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IMAGE_MODELS: dict[str, dict[str, Any]] = {
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"flux-schnell": {
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"id": "flux-schnell",
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"name": "Flux Schnell",
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"provider": "replicate",
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"model_id": "black-forest-labs/flux-schnell",
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"description": "快速生成，适合快速迭代",
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"supports_ref_image": False,
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"num_images_param": "num_outputs",
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"default_params": {
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"aspect_ratio": "1:1",
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"output_format": "png",
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},
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},
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"flux-dev": {
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"id": "flux-dev",
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"name": "Flux Dev",
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"provider": "replicate",
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"model_id": "black-forest-labs/flux-dev",
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"description": "高质量生成，细节更好",
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"supports_ref_image": False,
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"num_images_param": "num_outputs",
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"default_params": {
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"aspect_ratio": "1:1",
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"output_format": "png",
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},
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},
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"sdxl": {
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"id": "sdxl",
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"name": "Stable Diffusion XL",
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"provider": "replicate",
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"model_id": "stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b",
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"description": "经典 SDXL，支持 negative prompt",
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"supports_ref_image": False,
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"num_images_param": "num_outputs",
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"default_params": {
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"width": 1024,
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"height": 1024,
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"num_inference_steps": 50,
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"guidance_scale": 7.5,
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},
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},
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"instant-style": {
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"id": "instant-style",
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"name": "InstantStyle",
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"provider": "replicate",
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"model_id": "jyoung105/instant-style:c6f01e12f31cb99f9ee774a78992a71294f630a6f433d9aecfdc33b816fc4baa",
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"description": "强风格迁移，画风还原度高（较慢）",
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"supports_ref_image": True,
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"ref_image_param": "style_image",
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"num_images_param": "num_outputs",
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"default_params": {
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"width": 1024,
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"height": 1024,
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"num_inference_steps": 30,
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"guidance_scale": 5,
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"style_strength": 1.0,
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"block_mode": "style-only",
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"adapter_mode": "original",
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},
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},
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"kolors-ipadapter": {
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"id": "kolors-ipadapter",
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"name": "Kolors IP-Adapter",
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"provider": "replicate",
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"model_id": "fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed",
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"description": "风格参考生成，上传参考图效果最佳",
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"supports_ref_image": True,
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"ref_image_param": "image",
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"num_images_param": "number_of_images",
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"default_params": {
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"width": 1024,
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"height": 1024,
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"steps": 25,
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"cfg": 4,
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"ip_adapter_weight": 0.8,
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"ip_adapter_weight_type": "style transfer precise",
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"output_format": "png",
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},
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},
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}
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def get_default_image_model_id() -> str:
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"""返回 .env 中配置的默认模型短 ID，若不在注册表中则回退到 flux-schnell。"""
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env_model = os.getenv("IMAGE_MODEL", "flux-schnell")
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for mid, cfg in IMAGE_MODELS.items():
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if cfg["model_id"] == env_model or mid == env_model:
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return mid
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return "flux-schnell"
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def get_image_model_config(model_id: str | None = None) -> dict[str, Any]:
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"""根据短 ID 获取模型配置，未指定或不存在则使用默认模型。"""
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if model_id and model_id in IMAGE_MODELS:
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return IMAGE_MODELS[model_id]
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return IMAGE_MODELS[get_default_image_model_id()]
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def get_ref_image_model_id() -> str | None:
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"""返回有参考图时推荐使用的模型 ID（第一个 supports_ref_image=True 的模型）。"""
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for mid, cfg in IMAGE_MODELS.items():
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if cfg.get("supports_ref_image"):
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return mid
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return None
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def get_image_models_list() -> list[dict]:
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"""返回前端下拉列表所需的模型摘要信息。"""
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return [
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{
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"id": cfg["id"],
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"name": cfg["name"],
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"description": cfg["description"],
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"supports_ref_image": cfg.get("supports_ref_image", False),
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}
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for cfg in IMAGE_MODELS.values()
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]
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def get_image_aspect_ratio() -> str:
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return os.getenv("IMAGE_ASPECT_RATIO", "1:1")
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def get_image_output_format() -> str:
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return os.getenv("IMAGE_OUTPUT_FORMAT", "png")
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