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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
30 lines
881 B
Python
30 lines
881 B
Python
from server import PromptServer
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from aiohttp import web
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import os
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import folder_paths
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dir = os.path.abspath(os.path.join(__file__, "../../user"))
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if not os.path.exists(dir):
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os.mkdir(dir)
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file = os.path.join(dir, "autocomplete.txt")
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@PromptServer.instance.routes.get("/pysssss/autocomplete")
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async def get_autocomplete(request):
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if os.path.isfile(file):
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return web.FileResponse(file)
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return web.Response(status=404)
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@PromptServer.instance.routes.post("/pysssss/autocomplete")
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async def update_autocomplete(request):
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with open(file, "w", encoding="utf-8") as f:
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f.write(await request.text())
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return web.Response(status=200)
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@PromptServer.instance.routes.get("/pysssss/loras")
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async def get_loras(request):
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loras = folder_paths.get_filename_list("loras")
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return web.json_response(list(map(lambda a: os.path.splitext(a)[0], loras)))
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