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import random
import logging
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
from libs.generic import rename_image, load_config, save_prompt
from libs.create_thumbnail import generate_thumbnail
from libs.ollama import create_prompt_on_openwebui
nest_asyncio.apply()
logging.basicConfig(level=logging.INFO)
LOG_FILE = "./prompts_log.jsonl"
user_config = load_config()
output_folder = user_config["comfyui"]["output_dir"]
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"
# 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)
generate_thumbnail(output_path)
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.")