mirror of
https://github.com/karl0ss/ai_image_frame_server.git
synced 2025-04-28 11:13:41 +01:00
291 lines
9.4 KiB
Python
291 lines
9.4 KiB
Python
import random
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import configparser
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import logging
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import sys
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import litellm
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import time
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import os
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import requests
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from PIL import Image
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from typing import Optional
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from comfy_api_simplified import ComfyApiWrapper, ComfyWorkflowWrapper
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from tenacity import (
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retry,
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stop_after_attempt,
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wait_fixed,
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before_log,
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retry_if_exception_type,
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)
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import nest_asyncio
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import json
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from datetime import datetime
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nest_asyncio.apply()
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logging.basicConfig(level=logging.INFO)
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LOG_FILE = "./prompts_log.jsonl"
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def load_recent_prompts(count=7):
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recent_prompts = []
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try:
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with open(LOG_FILE, "r") as f:
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lines = f.readlines()
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for line in lines[-count:]:
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data = json.loads(line.strip())
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recent_prompts.append(data["prompt"])
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except FileNotFoundError:
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pass # No prompts yet
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return recent_prompts
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def save_prompt(prompt):
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entry = {"date": datetime.now().strftime("%Y-%m-%d"), "prompt": prompt}
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with open(LOG_FILE, "a") as f:
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f.write(json.dumps(entry) + "\n")
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def get_available_models() -> list:
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"""Fetches available models from ComfyUI."""
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url = user_config["comfyui"]["comfyui_url"] + "/object_info"
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response = requests.get(url)
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if response.status_code == 200:
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data = response.json()
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return (
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data.get("CheckpointLoaderSimple", {})
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.get("input", {})
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.get("required", {})
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.get("ckpt_name", [])[0]
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)
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else:
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print(f"Failed to fetch models: {response.status_code}")
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return []
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def cancel_current_job() -> list:
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"""Fetches available models from ComfyUI."""
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url = user_config["comfyui"]["comfyui_url"] + "/interrupt"
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response = requests.post(url)
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if response.status_code == 200:
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return "Cancelled"
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else:
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return "Failed to cancel"
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def load_config() -> configparser.ConfigParser:
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"""Loads user configuration from ./user_config.cfg."""
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user_config = configparser.ConfigParser()
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try:
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user_config.read("./user_config.cfg")
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logging.debug("Configuration loaded successfully.")
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return user_config
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except KeyError as e:
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logging.error(f"Missing configuration key: {e}")
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sys.exit(1)
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def rename_image() -> str | None:
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"""Renames 'image.png' in the output folder to a timestamped filename if it exists."""
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old_path = os.path.join(user_config["comfyui"]["output_dir"], "image.png")
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if os.path.exists(old_path):
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new_filename = f"{str(time.time())}.png"
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new_path = os.path.join(user_config["comfyui"]["output_dir"], new_filename)
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os.rename(old_path, new_path)
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print(f"Renamed 'image.png' to '{new_filename}'")
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return new_filename
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else:
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print("No image.png found.")
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return None
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def create_prompt_on_openwebui(prompt: str) -> str:
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"""Sends prompt to OpenWebui and returns the generated response."""
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# Unique list of recent prompts
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recent_prompts = list(set(load_recent_prompts()))
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# Decide on whether to include a topic (e.g., 30% chance to include)
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topics = [t.strip() for t in user_config["comfyui"]["topics"].split(",") if t.strip()]
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topic_instruction = ""
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if random.random() < 0.3 and topics:
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selected_topic = random.choice(topics)
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topic_instruction = f" Incorporate the theme of '{selected_topic}' into the new prompt."
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user_content = (
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"Here are the prompts from the last 7 days:\n\n"
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+ "\n".join(f"{i+1}. {p}" for i, p in enumerate(recent_prompts))
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+ "\n\nDo not repeat ideas, themes, or settings from the above. "
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"Now generate a new, completely original Stable Diffusion prompt that hasn't been done yet."
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+ topic_instruction
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)
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model = random.choice(user_config["openwebui"]["models"].split(","))
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response = litellm.completion(
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api_base=user_config["openwebui"]["base_url"],
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model="openai/" + model,
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messages=[
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{
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"role": "system",
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"content": (
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"You are a prompt generator for Stable Diffusion. "
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"Generate a detailed and imaginative prompt with a strong visual theme. "
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"Focus on lighting, atmosphere, and artistic style. "
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"Keep the prompt concise, no extra commentary or formatting."
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),
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},
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{
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"role": "user",
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"content": user_content,
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},
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],
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api_key=user_config["openwebui"]["api_key"],
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)
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prompt = response["choices"][0]["message"]["content"].strip('"')
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# response = litellm.completion(
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# api_base=user_config["openwebui"]["base_url"],
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# model="openai/brxce/stable-diffusion-prompt-generator:latest",
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# messages=[
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# {
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# "role": "user",
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# "content": prompt,
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# },
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# ],
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# api_key=user_config["openwebui"]["api_key"],
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# )
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# prompt = response["choices"][0]["message"]["content"].strip('"')
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logging.debug(prompt)
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return prompt
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# Define the retry logic using Tenacity
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@retry(
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stop=stop_after_attempt(3),
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wait=wait_fixed(5),
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before=before_log(logging.getLogger(), logging.DEBUG),
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retry=retry_if_exception_type(Exception),
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)
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def generate_image(
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file_name: str,
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comfy_prompt: str,
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workflow_path: str = "./workflow_api.json",
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prompt_node: str = "CLIP Text Encode (Prompt)",
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seed_node: str = "KSampler",
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seed_param: str = "seed",
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save_node: str = "Save Image",
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save_param: str = "filename_prefix",
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model_node: Optional[str] = "Load Checkpoint",
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model_param: Optional[str] = "ckpt_name",
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) -> None:
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"""Generates an image using the Comfy API with configurable workflow settings."""
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try:
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api = ComfyApiWrapper(user_config["comfyui"]["comfyui_url"])
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wf = ComfyWorkflowWrapper(workflow_path)
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# Set workflow parameters
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wf.set_node_param(seed_node, seed_param, random.getrandbits(32))
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wf.set_node_param(prompt_node, "text", comfy_prompt)
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wf.set_node_param(save_node, save_param, file_name)
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wf.set_node_param(
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(
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"Empty Latent Image"
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if workflow_path.endswith("workflow_api.json")
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else "CR Aspect Ratio"
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),
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"width",
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user_config["comfyui"]["width"],
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)
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wf.set_node_param(
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(
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"Empty Latent Image"
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if workflow_path.endswith("workflow_api.json")
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else "CR Aspect Ratio"
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),
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"height",
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user_config["comfyui"]["height"],
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)
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# Conditionally set model if node and param are provided
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if model_node and model_param:
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if user_config["comfyui"].get("FLUX"):
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valid_models = user_config["comfyui:flux"]["models"].split(",")
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else:
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available_model_list = user_config["comfyui"]["models"].split(",")
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valid_models = list(
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set(get_available_models()) & set(available_model_list)
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)
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if not valid_models:
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raise Exception("No valid models available.")
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model = random.choice(valid_models)
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wf.set_node_param(model_node, model_param, model)
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# Generate image
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logging.debug(f"Generating image: {file_name}")
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results = api.queue_and_wait_images(wf, save_node)
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rename_image()
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for _, image_data in results.items():
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output_path = os.path.join(
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user_config["comfyui"]["output_dir"], f"{file_name}.png"
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)
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with open(output_path, "wb+") as f:
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f.write(image_data)
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logging.debug(f"Image generated successfully for UID: {file_name}")
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except Exception as e:
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logging.error(f"Failed to generate image for UID: {file_name}. Error: {e}")
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raise
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def create_image(prompt: str | None = None) -> None:
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"""Main function for generating images."""
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if prompt is None:
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prompt = create_prompt_on_openwebui(user_config["comfyui"]["prompt"])
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if prompt:
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logging.info(f"Generated prompt: {prompt}") # Log generated prompt
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save_prompt(prompt)
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if user_config["comfyui"]["FLUX"]:
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generate_image(
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file_name="image",
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comfy_prompt=prompt,
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workflow_path="./FLUX.json",
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prompt_node="Positive Prompt T5",
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seed_node="Seed",
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seed_param="seed",
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save_node="CivitAI Image Saver",
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save_param="filename",
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model_node="CivitAI Image Saver",
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model_param="modelname",
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)
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else:
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generate_image("image", prompt)
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print(f"Image generation started with prompt: {prompt}")
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else:
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logging.error("No prompt generated.")
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def get_prompt_from_png(path):
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try:
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with Image.open(path) as img:
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try:
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# Flux workflow
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meta = json.loads(img.info["prompt"])['44']['inputs']['text']
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except KeyError:
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# SDXL workflow
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meta = json.loads(img.info["prompt"])['6']['inputs']['text']
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return meta or ""
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except Exception as e:
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print(f"Error reading metadata from {path}: {e}")
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return ""
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user_config = load_config()
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output_folder = user_config["comfyui"]["output_dir"]
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