From 37a919c3f1a4cdcbb76445c366be774dd8c5557b Mon Sep 17 00:00:00 2001 From: shiva raj badu Date: Thu, 18 Dec 2025 00:34:36 +0545 Subject: [PATCH] chore: remove unused file --- text.py | 220 -------------------------------------------------------- 1 file changed, 220 deletions(-) delete mode 100644 text.py diff --git a/text.py b/text.py deleted file mode 100644 index e6090367..00000000 --- a/text.py +++ /dev/null @@ -1,220 +0,0 @@ -import json -import uuid -import requests -import time - - -POSITIVE_PROMPT = "Modern abstract representation of global short-form video marketing solutions, showing professional data flows and integrated mobile screens displaying diverse video content, utilizing a neutral and earthy color palette with high contrast. Clean lines and geometric shapes dominate the composition, evoking a sense of technological sophistication and connectivity. The artwork should convey the dynamic and fast-paced nature of short-form video marketing, with an emphasis on innovation and digital communication. The style should be sleek and contemporary, suitable for a corporate audience interested in cutting-edge marketing strategies." - -COMFYUI_URL = "https://qfrtn6he9wnwog-8188.proxy.runpod.net" - - - - - -def create_workflow(): - workflow= { - "6": { - "inputs": { - "text": POSITIVE_PROMPT, - "clip": [ - "30", - 1 - ] - }, - "class_type": "CLIPTextEncode", - "_meta": { - "title": "CLIP Text Encode (Positive Prompt)" - } - }, - "8": { - "inputs": { - "samples": [ - "31", - 0 - ], - "vae": [ - "30", - 2 - ] - }, - "class_type": "VAEDecode", - "_meta": { - "title": "VAE Decode" - } - }, - "9": { - "inputs": { - "filename_prefix": "ComfyUI", - "images": [ - "8", - 0 - ] - }, - "class_type": "SaveImage", - "_meta": { - "title": "Save Image" - } - }, - "27": { - "inputs": { - "width": 1024, - "height": 1024, - "batch_size": 1 - }, - "class_type": "EmptySD3LatentImage", - "_meta": { - "title": "EmptySD3LatentImage" - } - }, - "30": { - "inputs": { - "ckpt_name": 'flux1-schnell-fp8.safetensors' - }, - "class_type": "CheckpointLoaderSimple", - "_meta": { - "title": "Load Checkpoint" - } - }, - "31": { - "inputs": { - "seed": 5542493640978, - "steps": 4, - "cfg": 1, - "sampler_name": "euler", - "scheduler": "simple", - "denoise": 1, - "model": [ - "30", - 0 - ], - "positive": [ - "6", - 0 - ], - "negative": [ - "33", - 0 - ], - "latent_image": [ - "27", - 0 - ] - }, - "class_type": "KSampler", - "_meta": { - "title": "KSampler" - } - }, - "33": { - "inputs": { - "text": "", - "clip": [ - "30", - 1 - ] - }, - "class_type": "CLIPTextEncode", - "_meta": { - "title": "CLIP Text Encode (Negative Prompt)" - } - } -} - return workflow - -def generate_client_id(): - return str(uuid.uuid4()) - -def submit_workflow(): - workflow = create_workflow() - client_id = generate_client_id() - payload = { - "prompt":workflow, - "client_id":client_id - } - print(f"sending request to comfyui...{COMFYUI_URL}/prompt submit_workflow") - response = requests.post(f"{COMFYUI_URL}/prompt", json=payload) - if response.status_code != 200: - raise Exception(f"Failed to submit workflow: {response.text}") - - response_data = response.json() - prompt_id = response_data.get("prompt_id") - print(f"Workflow submitted successfully. Prompt ID: {prompt_id}") - return prompt_id - -def wait_for_completion(prompt_id): - print("Waiting for workflow to complete...") - while True: - time.sleep(5) - response = requests.get(f"{COMFYUI_URL}/history/{prompt_id}") - if response.status_code != 200: - raise Exception(f"Failed to get workflow status: {response.text}") - try: - status_data = response.json() - - except json.JSONDecodeError: - print("Received invalid JSON response, retrying...") - continue - if prompt_id in status_data: - execution_data = status_data[prompt_id] - if 'status' in execution_data and execution_data['status'].get('completed', False): - print("Workflow completed.") - return status_data - if 'status' in execution_data and 'error' in execution_data['status']: - print(f"Workflow error: {execution_data['status']['error']}") - return None - print("Workflow not completed yet, checking again...") - -def get_image_url(status_data, prompt_id): - if prompt_id not in status_data or 'outputs' not in status_data[prompt_id]: - print("No outputs found for the given prompt ID.") - return - outputs = status_data[prompt_id]['outputs'] - images_downloaded=0 - - 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', '') - - view_params ={ - "filename": filename, - "type": "output", - } - if subfolder: - view_params["subfolder"] = subfolder - print('downloading image:', filename) - image_response = requests.get(f"{COMFYUI_URL}/view", params=view_params) - - if image_response.status_code == 200: - output_filename = f"output_{images_downloaded}_{filename}" - with open(output_filename, 'wb') as image_file: - image_file.write(image_response.content) - print(f"Image saved as {output_filename}") - - images_downloaded - else: - print(f"Failed to download image {filename}: {image_response.text}") - if images_downloaded == 0: - print("No images were downloaded.") - else: - print(f"Total images downloaded: {images_downloaded}") - -def main(): - print("Starting workflow submission...") - prompt_id = submit_workflow() - - if not prompt_id: - print("Failed to submit workflow.") - return - status_data = wait_for_completion(prompt_id=prompt_id) - if not status_data: - print("Workflow execution failed.") - return - get_image_url(status_data=status_data, prompt_id=prompt_id) - - - -if __name__ == "__main__": - main() \ No newline at end of file