|
|
|
|
|
|
|
import websocket |
|
import uuid |
|
import json |
|
import urllib.request |
|
import urllib.parse |
|
|
|
server_address = "127.0.0.1:8188" |
|
client_id = str(uuid.uuid4()) |
|
|
|
def queue_prompt(prompt): |
|
p = {"prompt": prompt, "client_id": client_id} |
|
data = json.dumps(p).encode('utf-8') |
|
req = urllib.request.Request("http://{}/prompt".format(server_address), data=data) |
|
return json.loads(urllib.request.urlopen(req).read()) |
|
|
|
def get_image(filename, subfolder, folder_type): |
|
data = {"filename": filename, "subfolder": subfolder, "type": folder_type} |
|
url_values = urllib.parse.urlencode(data) |
|
with urllib.request.urlopen("http://{}/view?{}".format(server_address, url_values)) as response: |
|
return response.read() |
|
|
|
def get_history(prompt_id): |
|
with urllib.request.urlopen("http://{}/history/{}".format(server_address, prompt_id)) as response: |
|
return json.loads(response.read()) |
|
|
|
def get_images(ws, prompt): |
|
prompt_id = queue_prompt(prompt)['prompt_id'] |
|
output_images = {} |
|
while True: |
|
out = ws.recv() |
|
if isinstance(out, str): |
|
message = json.loads(out) |
|
if message['type'] == 'executing': |
|
data = message['data'] |
|
if data['node'] is None and data['prompt_id'] == prompt_id: |
|
break |
|
else: |
|
continue |
|
|
|
history = get_history(prompt_id)[prompt_id] |
|
for o in history['outputs']: |
|
for node_id in history['outputs']: |
|
node_output = history['outputs'][node_id] |
|
if 'images' in node_output: |
|
images_output = [] |
|
for image in node_output['images']: |
|
image_data = get_image(image['filename'], image['subfolder'], image['type']) |
|
images_output.append(image_data) |
|
output_images[node_id] = images_output |
|
|
|
return output_images |
|
|
|
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.ckpt" |
|
} |
|
}, |
|
"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 |
|
] |
|
} |
|
} |
|
} |
|
""" |
|
|
|
prompt = json.loads(prompt_text) |
|
|
|
prompt["6"]["inputs"]["text"] = "masterpiece best quality man" |
|
|
|
|
|
prompt["3"]["inputs"]["seed"] = 5 |
|
|
|
ws = websocket.WebSocket() |
|
ws.connect("ws://{}/ws?clientId={}".format(server_address, client_id)) |
|
images = get_images(ws, prompt) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
