mirror of
https://github.com/karl0ss/ai-frame-image-server.git
synced 2025-04-26 01:10:12 +01:00
265 lines
8.5 KiB
Python
265 lines
8.5 KiB
Python
import random
|
|
import configparser
|
|
import logging
|
|
import sys
|
|
import litellm
|
|
import time
|
|
import os
|
|
import requests
|
|
from typing import Optional
|
|
from comfy_api_simplified import ComfyApiWrapper, ComfyWorkflowWrapper
|
|
from tenacity import (
|
|
retry,
|
|
stop_after_attempt,
|
|
wait_fixed,
|
|
before_log,
|
|
retry_if_exception_type,
|
|
)
|
|
import nest_asyncio
|
|
import json
|
|
from datetime import datetime
|
|
|
|
nest_asyncio.apply()
|
|
|
|
logging.basicConfig(level=logging.INFO)
|
|
|
|
LOG_FILE = "./prompts_log.jsonl"
|
|
|
|
|
|
def load_recent_prompts(count=7):
|
|
recent_prompts = []
|
|
|
|
try:
|
|
with open(LOG_FILE, "r") as f:
|
|
lines = f.readlines()
|
|
for line in lines[-count:]:
|
|
data = json.loads(line.strip())
|
|
recent_prompts.append(data["prompt"])
|
|
except FileNotFoundError:
|
|
pass # No prompts yet
|
|
|
|
return recent_prompts
|
|
|
|
|
|
def save_prompt(prompt):
|
|
entry = {"date": datetime.now().strftime("%Y-%m-%d"), "prompt": prompt}
|
|
with open(LOG_FILE, "a") as f:
|
|
f.write(json.dumps(entry) + "\n")
|
|
|
|
|
|
|
|
def get_available_models() -> list:
|
|
"""Fetches available models from ComfyUI."""
|
|
url = user_config["comfyui"]["comfyui_url"] + "/object_info"
|
|
response = requests.get(url)
|
|
if response.status_code == 200:
|
|
data = response.json()
|
|
return (
|
|
data.get("CheckpointLoaderSimple", {})
|
|
.get("input", {})
|
|
.get("required", {})
|
|
.get("ckpt_name", [])[0]
|
|
)
|
|
else:
|
|
print(f"Failed to fetch models: {response.status_code}")
|
|
return []
|
|
|
|
|
|
def cancel_current_job() -> list:
|
|
"""Fetches available models from ComfyUI."""
|
|
url = user_config["comfyui"]["comfyui_url"] + "/interrupt"
|
|
response = requests.post(url)
|
|
if response.status_code == 200:
|
|
return "Cancelled"
|
|
else:
|
|
return "Failed to cancel"
|
|
|
|
|
|
def load_config() -> configparser.ConfigParser:
|
|
"""Loads user configuration from ./user_config.cfg."""
|
|
user_config = configparser.ConfigParser()
|
|
try:
|
|
user_config.read("./user_config.cfg")
|
|
logging.debug("Configuration loaded successfully.")
|
|
return user_config
|
|
except KeyError as e:
|
|
logging.error(f"Missing configuration key: {e}")
|
|
sys.exit(1)
|
|
|
|
|
|
def rename_image() -> str | None:
|
|
"""Renames 'image.png' in the output folder to a timestamped filename if it exists."""
|
|
old_path = os.path.join(user_config["comfyui"]["output_dir"], "image.png")
|
|
|
|
if os.path.exists(old_path):
|
|
new_filename = f"{str(time.time())}.png"
|
|
new_path = os.path.join(user_config["comfyui"]["output_dir"], new_filename)
|
|
os.rename(old_path, new_path)
|
|
print(f"Renamed 'image.png' to '{new_filename}'")
|
|
return new_filename
|
|
else:
|
|
print("No image.png found.")
|
|
return None
|
|
|
|
|
|
def create_prompt_on_openwebui(prompt: str) -> str:
|
|
"""Sends prompt to OpenWebui and returns the generated response."""
|
|
recent_prompts = load_recent_prompts()
|
|
user_content = (
|
|
"Here are the prompts from the last 7 days:\n\n"
|
|
+ "\n".join(f"{i+1}. {p}" for i, p in enumerate(recent_prompts))
|
|
+ "\n\nDo not repeat ideas, themes, or settings from the above. Now generate a new, completely original Stable Diffusion prompt that hasn't been done yet."
|
|
)
|
|
|
|
model = random.choice(user_config["openwebui"]["models"].split(","))
|
|
response = litellm.completion(
|
|
api_base=user_config["openwebui"]["base_url"],
|
|
model="openai/" + model,
|
|
messages=[
|
|
{
|
|
"role": "system",
|
|
"content": (
|
|
"You are a prompt generator for Stable Diffusion. "
|
|
"Generate a detailed and imaginative prompt with a strong visual theme. "
|
|
"Focus on lighting, atmosphere, and artistic style. "
|
|
"Keep the prompt concise, no extra commentary or formatting."
|
|
),
|
|
},
|
|
{
|
|
"role": "user",
|
|
"content": user_content,
|
|
},
|
|
],
|
|
api_key=user_config["openwebui"]["api_key"],
|
|
)
|
|
|
|
prompt = response["choices"][0]["message"]["content"].strip('"')
|
|
# response = litellm.completion(
|
|
# api_base=user_config["openwebui"]["base_url"],
|
|
# model="openai/brxce/stable-diffusion-prompt-generator:latest",
|
|
# messages=[
|
|
# {
|
|
# "role": "user",
|
|
# "content": prompt,
|
|
# },
|
|
# ],
|
|
# api_key=user_config["openwebui"]["api_key"],
|
|
# )
|
|
# prompt = response["choices"][0]["message"]["content"].strip('"')
|
|
logging.debug(prompt)
|
|
return prompt
|
|
|
|
|
|
# Define the retry logic using Tenacity
|
|
@retry(
|
|
stop=stop_after_attempt(3),
|
|
wait=wait_fixed(5),
|
|
before=before_log(logging.getLogger(), logging.DEBUG),
|
|
retry=retry_if_exception_type(Exception),
|
|
)
|
|
def generate_image(
|
|
file_name: str,
|
|
comfy_prompt: str,
|
|
workflow_path: str = "./workflow_api.json",
|
|
prompt_node: str = "CLIP Text Encode (Prompt)",
|
|
seed_node: str = "KSampler",
|
|
seed_param: str = "seed",
|
|
save_node: str = "Save Image",
|
|
save_param: str = "filename_prefix",
|
|
model_node: Optional[str] = "Load Checkpoint",
|
|
model_param: Optional[str] = "ckpt_name",
|
|
) -> None:
|
|
"""Generates an image using the Comfy API with configurable workflow settings."""
|
|
try:
|
|
api = ComfyApiWrapper(user_config["comfyui"]["comfyui_url"])
|
|
wf = ComfyWorkflowWrapper(workflow_path)
|
|
|
|
# Set workflow parameters
|
|
wf.set_node_param(seed_node, seed_param, random.getrandbits(32))
|
|
wf.set_node_param(prompt_node, "text", comfy_prompt)
|
|
wf.set_node_param(save_node, save_param, file_name)
|
|
wf.set_node_param(
|
|
(
|
|
"Empty Latent Image"
|
|
if workflow_path.endswith("workflow_api.json")
|
|
else "CR Aspect Ratio"
|
|
),
|
|
"width",
|
|
user_config["comfyui"]["width"],
|
|
)
|
|
wf.set_node_param(
|
|
(
|
|
"Empty Latent Image"
|
|
if workflow_path.endswith("workflow_api.json")
|
|
else "CR Aspect Ratio"
|
|
),
|
|
"height",
|
|
user_config["comfyui"]["height"],
|
|
)
|
|
|
|
# Conditionally set model if node and param are provided
|
|
if model_node and model_param:
|
|
if user_config["comfyui"].get("FLUX"):
|
|
valid_models = user_config["comfyui:flux"]["models"].split(",")
|
|
else:
|
|
available_model_list = user_config["comfyui"]["models"].split(",")
|
|
valid_models = list(
|
|
set(get_available_models()) & set(available_model_list)
|
|
)
|
|
|
|
if not valid_models:
|
|
raise Exception("No valid models available.")
|
|
|
|
model = random.choice(valid_models)
|
|
wf.set_node_param(model_node, model_param, model)
|
|
|
|
|
|
# Generate image
|
|
logging.debug(f"Generating image: {file_name}")
|
|
results = api.queue_and_wait_images(wf, save_node)
|
|
rename_image()
|
|
|
|
for _, image_data in results.items():
|
|
output_path = os.path.join(
|
|
user_config["comfyui"]["output_dir"], f"{file_name}.png"
|
|
)
|
|
with open(output_path, "wb+") as f:
|
|
f.write(image_data)
|
|
|
|
logging.debug(f"Image generated successfully for UID: {file_name}")
|
|
|
|
except Exception as e:
|
|
logging.error(f"Failed to generate image for UID: {file_name}. Error: {e}")
|
|
raise
|
|
|
|
|
|
def create_image(prompt: str | None = None) -> None:
|
|
"""Main function for generating images."""
|
|
if prompt is None:
|
|
prompt = create_prompt_on_openwebui(user_config["comfyui"]["prompt"])
|
|
if prompt:
|
|
logging.info(f"Generated prompt: {prompt}") # Log generated prompt
|
|
save_prompt(prompt)
|
|
if user_config["comfyui"]["FLUX"]:
|
|
generate_image(
|
|
file_name="image",
|
|
comfy_prompt=prompt,
|
|
workflow_path="./FLUX.json",
|
|
prompt_node="Positive Prompt T5",
|
|
seed_node="Seed",
|
|
seed_param="seed",
|
|
save_node="CivitAI Image Saver",
|
|
save_param="filename",
|
|
model_node="CivitAI Image Saver",
|
|
model_param="modelname",
|
|
)
|
|
else:
|
|
generate_image("image", prompt)
|
|
print(f"Image generation started with prompt: {prompt}")
|
|
else:
|
|
logging.error("No prompt generated.")
|
|
|
|
|
|
user_config = load_config()
|
|
output_folder = user_config["comfyui"]["output_dir"]
|