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| import json | |
| from urllib import request, parse | |
| import random | |
| #This is the ComfyUI api prompt format. | |
| #If you want it for a specific workflow you can "enable dev mode options" | |
| #in the settings of the UI (gear beside the "Queue Size: ") this will enable | |
| #a button on the UI to save workflows in api format. | |
| #keep in mind ComfyUI is pre alpha software so this format will change a bit. | |
| #this is the one for the default workflow | |
| prompt_text = """ | |
| { | |
| "3": { | |
| "class_type": "KSampler", | |
| "inputs": { | |
| "cfg": 8, | |
| "denoise": 1, | |
| "latent_image": [ | |
| "5", | |
| 0 | |
| ], | |
| "model": [ | |
| "4", | |
| 0 | |
| ], | |
| "negative": [ | |
| "7", | |
| 0 | |
| ], | |
| "positive": [ | |
| "6", | |
| 0 | |
| ], | |
| "sampler_name": "euler", | |
| "scheduler": "normal", | |
| "seed": 8566257, | |
| "steps": 20 | |
| } | |
| }, | |
| "4": { | |
| "class_type": "CheckpointLoaderSimple", | |
| "inputs": { | |
| "ckpt_name": "v1-5-pruned-emaonly.safetensors" | |
| } | |
| }, | |
| "5": { | |
| "class_type": "EmptyLatentImage", | |
| "inputs": { | |
| "batch_size": 1, | |
| "height": 512, | |
| "width": 512 | |
| } | |
| }, | |
| "6": { | |
| "class_type": "CLIPTextEncode", | |
| "inputs": { | |
| "clip": [ | |
| "4", | |
| 1 | |
| ], | |
| "text": "masterpiece best quality girl" | |
| } | |
| }, | |
| "7": { | |
| "class_type": "CLIPTextEncode", | |
| "inputs": { | |
| "clip": [ | |
| "4", | |
| 1 | |
| ], | |
| "text": "bad hands" | |
| } | |
| }, | |
| "8": { | |
| "class_type": "VAEDecode", | |
| "inputs": { | |
| "samples": [ | |
| "3", | |
| 0 | |
| ], | |
| "vae": [ | |
| "4", | |
| 2 | |
| ] | |
| } | |
| }, | |
| "9": { | |
| "class_type": "SaveImage", | |
| "inputs": { | |
| "filename_prefix": "ComfyUI", | |
| "images": [ | |
| "8", | |
| 0 | |
| ] | |
| } | |
| } | |
| } | |
| """ | |
| def queue_prompt(prompt): | |
| p = {"prompt": prompt} | |
| data = json.dumps(p).encode('utf-8') | |
| req = request.Request("http://127.0.0.1:8188/prompt", data=data) | |
| request.urlopen(req) | |
| prompt = json.loads(prompt_text) | |
| #set the text prompt for our positive CLIPTextEncode | |
| prompt["6"]["inputs"]["text"] = "masterpiece best quality man" | |
| #set the seed for our KSampler node | |
| prompt["3"]["inputs"]["seed"] = 5 | |
| queue_prompt(prompt) | |