1280e40eb2
- Change NanoBanana Pro model from gemini-3-pro-image-preview to gemini-2.0-flash-exp-image (previous model doesn't exist) - Purge endpoint now deletes generated images from /app_data/images/ when soft-deleted presentations are purged - Add purged_images counter to purge response Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
439 lines
16 KiB
Python
439 lines
16 KiB
Python
import asyncio
|
|
import base64
|
|
import json
|
|
import os
|
|
import aiohttp
|
|
from fastapi import HTTPException
|
|
from google import genai
|
|
from openai import NOT_GIVEN, AsyncOpenAI
|
|
from models.image_prompt import ImagePrompt
|
|
from models.sql.image_asset import ImageAsset
|
|
from utils.get_env import (
|
|
get_dall_e_3_quality_env,
|
|
get_gpt_image_1_5_quality_env,
|
|
get_pexels_api_key_env,
|
|
)
|
|
from utils.get_env import get_pixabay_api_key_env
|
|
from utils.get_env import get_comfyui_url_env
|
|
from utils.get_env import get_comfyui_workflow_env
|
|
from utils.image_provider import (
|
|
is_gpt_image_1_5_selected,
|
|
is_image_generation_disabled,
|
|
is_pixels_selected,
|
|
is_pixabay_selected,
|
|
is_gemini_flash_selected,
|
|
is_nanobanana_pro_selected,
|
|
is_dalle3_selected,
|
|
is_comfyui_selected,
|
|
)
|
|
import uuid
|
|
|
|
|
|
class ImageGenerationService:
|
|
def __init__(self, output_directory: str):
|
|
self.output_directory = output_directory
|
|
self.is_image_generation_disabled = is_image_generation_disabled()
|
|
self.image_gen_func = self.get_image_gen_func()
|
|
|
|
def get_image_gen_func(self):
|
|
if self.is_image_generation_disabled:
|
|
return None
|
|
|
|
if is_pixabay_selected():
|
|
return self.get_image_from_pixabay
|
|
elif is_pixels_selected():
|
|
return self.get_image_from_pexels
|
|
elif is_gemini_flash_selected():
|
|
return self.generate_image_gemini_flash
|
|
elif is_nanobanana_pro_selected():
|
|
return self.generate_image_nanobanana_pro
|
|
elif is_dalle3_selected():
|
|
return self.generate_image_openai_dalle3
|
|
elif is_gpt_image_1_5_selected():
|
|
return self.generate_image_openai_gpt_image_1_5
|
|
elif is_comfyui_selected():
|
|
return self.generate_image_comfyui
|
|
return None
|
|
|
|
def is_stock_provider_selected(self):
|
|
return is_pixels_selected() or is_pixabay_selected()
|
|
|
|
async def generate_image(self, prompt: ImagePrompt) -> str | ImageAsset:
|
|
"""
|
|
Generates an image based on the provided prompt.
|
|
- If no image generation function is available, returns a placeholder image.
|
|
- If the stock provider is selected, it uses the prompt directly,
|
|
otherwise it uses the full image prompt with theme.
|
|
- Output Directory is used for saving the generated image not the stock provider.
|
|
"""
|
|
if self.is_image_generation_disabled:
|
|
print("Image generation is disabled. Using placeholder image.")
|
|
return "/static/images/placeholder.jpg"
|
|
|
|
if not self.image_gen_func:
|
|
print("No image generation function found. Using placeholder image.")
|
|
return "/static/images/placeholder.jpg"
|
|
|
|
image_prompt = prompt.get_image_prompt(
|
|
with_theme=not self.is_stock_provider_selected()
|
|
)
|
|
print(f"Request - Generating Image for {image_prompt}")
|
|
|
|
try:
|
|
if self.is_stock_provider_selected():
|
|
image_path = await self.image_gen_func(image_prompt)
|
|
else:
|
|
image_path = await self.image_gen_func(
|
|
image_prompt, self.output_directory
|
|
)
|
|
if image_path:
|
|
if image_path.startswith("http"):
|
|
return image_path
|
|
elif os.path.exists(image_path):
|
|
return ImageAsset(
|
|
path=image_path,
|
|
is_uploaded=False,
|
|
extras={
|
|
"prompt": prompt.prompt,
|
|
"theme_prompt": prompt.theme_prompt,
|
|
},
|
|
)
|
|
raise Exception(f"Image not found at {image_path}")
|
|
|
|
except Exception as e:
|
|
error_msg = str(e)
|
|
print(f"Error generating image: {error_msg}")
|
|
# Log to AI usage asynchronously (fire-and-forget)
|
|
try:
|
|
import asyncio
|
|
from services.database import async_session_maker
|
|
from models.sql.ai_usage import AIUsageModel
|
|
|
|
async def _log_image_error():
|
|
try:
|
|
async with async_session_maker() as sess:
|
|
usage = AIUsageModel(
|
|
provider=os.getenv("IMAGE_PROVIDER", "unknown"),
|
|
model="image_generation",
|
|
call_type="image_generation_error",
|
|
error_details=error_msg[:500],
|
|
)
|
|
sess.add(usage)
|
|
await sess.commit()
|
|
except Exception:
|
|
pass
|
|
|
|
asyncio.create_task(_log_image_error())
|
|
except Exception:
|
|
pass
|
|
return "/static/images/placeholder.jpg"
|
|
|
|
async def generate_image_openai(
|
|
self, prompt: str, output_directory: str, model: str, quality: str
|
|
) -> str:
|
|
client = AsyncOpenAI()
|
|
result = await client.images.generate(
|
|
model=model,
|
|
prompt=prompt,
|
|
n=1,
|
|
quality=quality,
|
|
response_format="b64_json" if model == "dall-e-3" else NOT_GIVEN,
|
|
size="1024x1024",
|
|
)
|
|
image_path = os.path.join(output_directory, f"{uuid.uuid4()}.png")
|
|
with open(image_path, "wb") as f:
|
|
f.write(base64.b64decode(result.data[0].b64_json))
|
|
return image_path
|
|
|
|
async def generate_image_openai_dalle3(
|
|
self, prompt: str, output_directory: str
|
|
) -> str:
|
|
return await self.generate_image_openai(
|
|
prompt,
|
|
output_directory,
|
|
"dall-e-3",
|
|
get_dall_e_3_quality_env() or "standard",
|
|
)
|
|
|
|
async def generate_image_openai_gpt_image_1_5(
|
|
self, prompt: str, output_directory: str
|
|
) -> str:
|
|
return await self.generate_image_openai(
|
|
prompt,
|
|
output_directory,
|
|
"gpt-image-1.5",
|
|
get_gpt_image_1_5_quality_env() or "medium",
|
|
)
|
|
|
|
async def _generate_image_google(
|
|
self, prompt: str, output_directory: str, model: str
|
|
) -> str:
|
|
"""Base method for Google image generation models."""
|
|
client = genai.Client()
|
|
response = await asyncio.to_thread(
|
|
client.models.generate_content,
|
|
model=model,
|
|
contents=[prompt],
|
|
)
|
|
|
|
image_path = None
|
|
for part in response.candidates[0].content.parts:
|
|
if part.inline_data is not None:
|
|
image = part.as_image()
|
|
image_path = os.path.join(output_directory, f"{uuid.uuid4()}.jpg")
|
|
image.save(image_path)
|
|
|
|
if not image_path:
|
|
raise HTTPException(
|
|
status_code=500, detail=f"No image generated by google {model}"
|
|
)
|
|
|
|
return image_path
|
|
|
|
async def generate_image_gemini_flash(
|
|
self, prompt: str, output_directory: str
|
|
) -> str:
|
|
"""Generate image using Gemini Flash (gemini-3.1-flash-image-preview)."""
|
|
return await self._generate_image_google(
|
|
prompt, output_directory, "gemini-3.1-flash-image-preview"
|
|
)
|
|
|
|
async def generate_image_nanobanana_pro(
|
|
self, prompt: str, output_directory: str
|
|
) -> str:
|
|
"""Generate image using NanoBanana Pro (gemini-2.0-flash-exp-image)."""
|
|
return await self._generate_image_google(
|
|
prompt, output_directory, "gemini-2.0-flash-exp-image"
|
|
)
|
|
|
|
async def get_image_from_pexels(self, prompt: str) -> str:
|
|
async with aiohttp.ClientSession(trust_env=True) as session:
|
|
response = await session.get(
|
|
f"https://api.pexels.com/v1/search?query={prompt}&per_page=1",
|
|
headers={"Authorization": f"{get_pexels_api_key_env()}"},
|
|
)
|
|
data = await response.json()
|
|
image_url = data["photos"][0]["src"]["large"]
|
|
return image_url
|
|
|
|
async def get_image_from_pixabay(self, prompt: str) -> str:
|
|
async with aiohttp.ClientSession(trust_env=True) as session:
|
|
response = await session.get(
|
|
f"https://pixabay.com/api/?key={get_pixabay_api_key_env()}&q={prompt}&image_type=photo&per_page=3"
|
|
)
|
|
data = await response.json()
|
|
image_url = data["hits"][0]["largeImageURL"]
|
|
return image_url
|
|
|
|
async def generate_image_comfyui(self, prompt: str, output_directory: str) -> str:
|
|
"""
|
|
Generate image using ComfyUI workflow API.
|
|
|
|
User provides:
|
|
- COMFYUI_URL: ComfyUI server URL (e.g., http://192.168.1.7:8188)
|
|
- COMFYUI_WORKFLOW: Workflow JSON exported from ComfyUI
|
|
|
|
The workflow should have a CLIPTextEncode node with "Positive" in the title
|
|
where the prompt will be injected.
|
|
|
|
Args:
|
|
prompt: The text prompt for image generation
|
|
output_directory: Directory to save the generated image
|
|
|
|
Returns:
|
|
Path to the generated image file
|
|
"""
|
|
comfyui_url = get_comfyui_url_env()
|
|
workflow_json = get_comfyui_workflow_env()
|
|
|
|
if not comfyui_url:
|
|
raise ValueError("COMFYUI_URL environment variable is not set")
|
|
|
|
if not workflow_json:
|
|
raise ValueError(
|
|
"COMFYUI_WORKFLOW environment variable is not set. Please provide a ComfyUI workflow JSON."
|
|
)
|
|
|
|
# Ensure URL doesn't have trailing slash
|
|
comfyui_url = comfyui_url.rstrip("/")
|
|
|
|
# Parse the workflow JSON
|
|
try:
|
|
workflow = json.loads(workflow_json)
|
|
except json.JSONDecodeError as e:
|
|
raise ValueError(f"Invalid workflow JSON: {str(e)}")
|
|
|
|
# Find and update the positive prompt node
|
|
workflow = self._inject_prompt_into_workflow(workflow, prompt)
|
|
|
|
async with aiohttp.ClientSession(trust_env=True) as session:
|
|
# Step 1: Submit workflow
|
|
prompt_id = await self._submit_comfyui_workflow(
|
|
session, comfyui_url, workflow
|
|
)
|
|
|
|
# Step 2: Wait for completion
|
|
status_data = await self._wait_for_comfyui_completion(
|
|
session, comfyui_url, prompt_id
|
|
)
|
|
|
|
# Step 3: Download the generated image
|
|
image_path = await self._download_comfyui_image(
|
|
session, comfyui_url, status_data, prompt_id, output_directory
|
|
)
|
|
|
|
return image_path
|
|
|
|
def _inject_prompt_into_workflow(self, workflow: dict, prompt: str) -> dict:
|
|
"""
|
|
Find the prompt node in the workflow and inject the prompt text.
|
|
Looks for a node with title 'Input Prompt' (case-insensitive).
|
|
|
|
User must rename their prompt node to 'Input Prompt' in ComfyUI.
|
|
"""
|
|
for node_id, node_data in workflow.items():
|
|
meta = node_data.get("_meta", {})
|
|
title = meta.get("title", "").lower()
|
|
|
|
if title == "input prompt":
|
|
if "inputs" in node_data and "text" in node_data["inputs"]:
|
|
node_data["inputs"]["text"] = prompt
|
|
print(
|
|
f"Injected prompt into node {node_id}: {meta.get('title', '')}"
|
|
)
|
|
return workflow
|
|
|
|
raise ValueError(
|
|
"Could not find a node with title 'Input Prompt' in the workflow. Please rename your prompt node to 'Input Prompt' in ComfyUI."
|
|
)
|
|
|
|
async def _submit_comfyui_workflow(
|
|
self, session: aiohttp.ClientSession, comfyui_url: str, workflow: dict
|
|
) -> str:
|
|
"""Submit workflow to ComfyUI and return the prompt_id."""
|
|
client_id = str(uuid.uuid4())
|
|
payload = {"prompt": workflow, "client_id": client_id}
|
|
|
|
response = await session.post(
|
|
f"{comfyui_url}/prompt",
|
|
json=payload,
|
|
timeout=aiohttp.ClientTimeout(total=30),
|
|
)
|
|
|
|
if response.status != 200:
|
|
error_text = await response.text()
|
|
raise Exception(f"Failed to submit workflow to ComfyUI: {error_text}")
|
|
|
|
data = await response.json()
|
|
prompt_id = data.get("prompt_id")
|
|
|
|
if not prompt_id:
|
|
raise Exception("No prompt_id returned from ComfyUI")
|
|
|
|
print(f"ComfyUI workflow submitted. Prompt ID: {prompt_id}")
|
|
return prompt_id
|
|
|
|
async def _wait_for_comfyui_completion(
|
|
self,
|
|
session: aiohttp.ClientSession,
|
|
comfyui_url: str,
|
|
prompt_id: str,
|
|
timeout: int = 300,
|
|
poll_interval: int = 4,
|
|
) -> dict:
|
|
"""Poll ComfyUI history endpoint until workflow completes."""
|
|
start_time = asyncio.get_event_loop().time()
|
|
|
|
while True:
|
|
elapsed = asyncio.get_event_loop().time() - start_time
|
|
if elapsed > timeout:
|
|
raise Exception(f"ComfyUI workflow timed out after {timeout} seconds")
|
|
|
|
await asyncio.sleep(poll_interval)
|
|
|
|
response = await session.get(
|
|
f"{comfyui_url}/history/{prompt_id}",
|
|
timeout=aiohttp.ClientTimeout(total=30),
|
|
)
|
|
|
|
if response.status != 200:
|
|
continue
|
|
|
|
try:
|
|
status_data = await response.json()
|
|
except Exception as _:
|
|
continue
|
|
|
|
if prompt_id in status_data:
|
|
execution_data = status_data[prompt_id]
|
|
|
|
# Check for completion
|
|
if "status" in execution_data:
|
|
status = execution_data["status"]
|
|
if status.get("completed", False):
|
|
print("ComfyUI workflow completed successfully")
|
|
return status_data
|
|
if "error" in status:
|
|
raise Exception(f"ComfyUI workflow error: {status['error']}")
|
|
|
|
# Also check if outputs exist (alternative completion check)
|
|
if "outputs" in execution_data and execution_data["outputs"]:
|
|
print("ComfyUI workflow completed (outputs found)")
|
|
return status_data
|
|
|
|
print(f"Waiting for ComfyUI workflow... ({int(elapsed)}s)")
|
|
|
|
async def _download_comfyui_image(
|
|
self,
|
|
session: aiohttp.ClientSession,
|
|
comfyui_url: str,
|
|
status_data: dict,
|
|
prompt_id: str,
|
|
output_directory: str,
|
|
) -> str:
|
|
"""Download the generated image from ComfyUI."""
|
|
if prompt_id not in status_data:
|
|
raise Exception("Prompt ID not found in status data")
|
|
|
|
outputs = status_data[prompt_id].get("outputs", {})
|
|
|
|
if not outputs:
|
|
raise Exception("No outputs found in ComfyUI response")
|
|
|
|
# Find the first image in outputs
|
|
for node_id, node_output in outputs.items():
|
|
if "images" in node_output:
|
|
for image_info in node_output["images"]:
|
|
filename = image_info["filename"]
|
|
subfolder = image_info.get("subfolder", "")
|
|
|
|
# Build view params
|
|
params = {"filename": filename, "type": "output"}
|
|
if subfolder:
|
|
params["subfolder"] = subfolder
|
|
|
|
# Download the image
|
|
response = await session.get(
|
|
f"{comfyui_url}/view",
|
|
params=params,
|
|
timeout=aiohttp.ClientTimeout(total=60),
|
|
)
|
|
|
|
if response.status == 200:
|
|
image_data = await response.read()
|
|
|
|
# Determine extension
|
|
ext = filename.split(".")[-1] if "." in filename else "png"
|
|
image_path = os.path.join(
|
|
output_directory, f"{uuid.uuid4()}.{ext}"
|
|
)
|
|
|
|
with open(image_path, "wb") as f:
|
|
f.write(image_data)
|
|
|
|
print(f"Downloaded image from ComfyUI: {image_path}")
|
|
return image_path
|
|
else:
|
|
raise Exception(f"Failed to download image: {response.status}")
|
|
|
|
raise Exception("No images found in ComfyUI outputs")
|