mirror of
https://github.com/oobabooga/text-generation-webui.git
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50 lines
2.1 KiB
Python
50 lines
2.1 KiB
Python
import os
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import time
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import requests
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from extensions.openai.errors import *
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def generations(prompt: str, size: str, response_format: str, n: int):
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# Stable Diffusion callout wrapper for txt2img
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# Low effort implementation for compatibility. With only "prompt" being passed and assuming DALL-E
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# the results will be limited and likely poor. SD has hundreds of models and dozens of settings.
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# If you want high quality tailored results you should just use the Stable Diffusion API directly.
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# it's too general an API to try and shape the result with specific tags like "masterpiece", etc,
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# Will probably work best with the stock SD models.
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# SD configuration is beyond the scope of this API.
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# At this point I will not add the edits and variations endpoints (ie. img2img) because they
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# require changing the form data handling to accept multipart form data, also to properly support
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# url return types will require file management and a web serving files... Perhaps later!
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width, height = [int(x) for x in size.split('x')] # ignore the restrictions on size
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# to hack on better generation, edit default payload.
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payload = {
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'prompt': prompt, # ignore prompt limit of 1000 characters
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'width': width,
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'height': height,
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'batch_size': n,
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'restore_faces': True, # slightly less horrible
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}
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resp = {
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'created': int(time.time()),
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'data': []
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}
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# TODO: support SD_WEBUI_AUTH username:password pair.
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sd_url = f"{os.environ['SD_WEBUI_URL']}/sdapi/v1/txt2img"
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response = requests.post(url=sd_url, json=payload)
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r = response.json()
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if response.status_code != 200 or 'images' not in r:
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raise ServiceUnavailableError(r.get('detail', [{'msg': 'Unknown error calling Stable Diffusion'}])[0]['msg'], code=response.status_code)
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# r['parameters']...
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for b64_json in r['images']:
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if response_format == 'b64_json':
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resp['data'].extend([{'b64_json': b64_json}])
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else:
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resp['data'].extend([{'url': f'data:image/png;base64,{b64_json}'}]) # yeah it's lazy. requests.get() will not work with this
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return resp
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