Spaces:
Sleeping
Sleeping
File size: 3,956 Bytes
32c5da4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 | from __future__ import annotations
from datetime import datetime
from enum import Enum
from typing import Literal
from pydantic import BaseModel, Field, field_validator
class JobStatus(str, Enum):
QUEUED = "queued"
RUNNING = "running"
DONE = "done"
ERROR = "error"
CANCELLED = "cancelled"
class GenerateRequest(BaseModel):
prompt: str = Field(min_length=1, max_length=2000)
negative_prompt: str = Field(default="", max_length=2000)
model: str = Field(default="localai") # Changed from "dummy" to "localai"
size: Literal["512x512", "768x768", "1024x1024", "1024x1536", "1536x1024"] = "512x512"
count: int = Field(default=1, ge=1, le=4)
seed: int | None = Field(default=None, ge=0)
random_seed: bool = True
steps: int = Field(default=30, ge=1, le=100)
guidance: float = Field(default=6.5, ge=1.0, le=20.0)
image_type: Literal[
"general",
"photo",
"portrait",
"landscape",
"architecture",
"product",
"logo",
"icon",
"poster",
"illustration",
"anime",
"pixel_art",
"sketch",
"painting",
"3d",
] = "general"
style_preset: Literal[
"auto",
"photorealistic",
"cinematic",
"minimal",
"vibrant",
"monochrome",
"watercolor",
"oil",
"noir",
"fantasy",
] = "auto"
style_strength: int = Field(default=60, ge=0, le=100)
admin_override: bool = False
init_image_path: str | None = None
img2img_strength: float = Field(default=0.45, ge=0.0, le=1.0)
model_variant: str | None = Field(default=None, max_length=200)
@field_validator("prompt")
@classmethod
def validate_prompt(cls, value: str) -> str:
value = value.strip()
if not value:
raise ValueError("Prompt must not be empty")
return value
class GenerateResponse(BaseModel):
job_id: str
class RetryResponse(BaseModel):
old_job_id: str
new_job_id: str
class JobInfoResponse(BaseModel):
job_id: str
status: JobStatus
progress: int
message: str
created_at: datetime
updated_at: datetime
image_paths: list[str] = Field(default_factory=list)
output_dir: str | None = None
error: str | None = None
class CancelResponse(BaseModel):
success: bool
class ModelInfo(BaseModel):
id: str
name: str
available: bool
description: str
class HistoryItem(BaseModel):
prompt: str
negative_prompt: str
timestamp: datetime
class HealthResponse(BaseModel):
status: str
timestamp: datetime
class PresetPayload(BaseModel):
name: str = Field(min_length=1, max_length=80)
prompt: str = ""
negative_prompt: str = ""
model: str = "dummy"
size: Literal["512x512", "768x768", "1024x1024", "1024x1536", "1536x1024"] = "512x512"
count: int = Field(default=1, ge=1, le=4)
steps: int = Field(default=30, ge=1, le=100)
guidance: float = Field(default=6.5, ge=1.0, le=20.0)
image_type: str = "general"
style_preset: str = "auto"
style_strength: int = Field(default=60, ge=0, le=100)
class PresetResponse(PresetPayload):
updated_at: datetime
class DashboardStats(BaseModel):
queued: int
running: int
done: int
error: int
cancelled: int
total: int
last_24h: int
class ExportRequest(BaseModel):
source_path: str
format: Literal["png", "jpg", "webp"] = "png"
quality: int = Field(default=92, ge=1, le=100)
max_width: int | None = Field(default=None, ge=64, le=8192)
max_height: int | None = Field(default=None, ge=64, le=8192)
class ExportResponse(BaseModel):
output_path: str
class AdminSettings(BaseModel):
content_profile: str
rate_limit_per_minute: int
output_retention_days: int
adult_enabled: bool = False
class MetricsResponse(BaseModel):
metrics: dict[str, float | int]
|