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