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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>
173 lines
5.1 KiB
Python
173 lines
5.1 KiB
Python
import glob
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import os
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from nodes import LoraLoader, CheckpointLoaderSimple
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import folder_paths
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from server import PromptServer
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from folder_paths import get_directory_by_type
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from aiohttp import web
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import shutil
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@PromptServer.instance.routes.get("/pysssss/view/{name}")
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async def view(request):
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name = request.match_info["name"]
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pos = name.index("/")
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type = name[0:pos]
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name = name[pos+1:]
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image_path = folder_paths.get_full_path(
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type, name)
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if not image_path:
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return web.Response(status=404)
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filename = os.path.basename(image_path)
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return web.FileResponse(image_path, headers={"Content-Disposition": f"filename=\"{filename}\""})
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@PromptServer.instance.routes.post("/pysssss/save/{name}")
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async def save_preview(request):
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name = request.match_info["name"]
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pos = name.index("/")
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type = name[0:pos]
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name = name[pos+1:]
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body = await request.json()
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dir = get_directory_by_type(body.get("type", "output"))
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subfolder = body.get("subfolder", "")
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full_output_folder = os.path.join(dir, os.path.normpath(subfolder))
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filepath = os.path.join(full_output_folder, body.get("filename", ""))
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if os.path.commonpath((dir, os.path.abspath(filepath))) != dir:
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return web.Response(status=400)
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image_path = folder_paths.get_full_path(type, name)
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image_path = os.path.splitext(
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image_path)[0] + os.path.splitext(filepath)[1]
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shutil.copyfile(filepath, image_path)
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return web.json_response({
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"image": type + "/" + os.path.basename(image_path)
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})
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@PromptServer.instance.routes.get("/pysssss/examples/{name}")
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async def get_examples(request):
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name = request.match_info["name"]
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pos = name.index("/")
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type = name[0:pos]
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name = name[pos+1:]
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file_path = folder_paths.get_full_path(
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type, name)
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if not file_path:
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return web.Response(status=404)
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file_path_no_ext = os.path.splitext(file_path)[0]
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examples = []
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if os.path.isdir(file_path_no_ext):
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examples += sorted(map(lambda t: os.path.relpath(t, file_path_no_ext),
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glob.glob(file_path_no_ext + "/*.txt")))
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if os.path.isfile(file_path_no_ext + ".txt"):
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examples += ["notes"]
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return web.json_response(examples)
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@PromptServer.instance.routes.post("/pysssss/examples/{name}")
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async def save_example(request):
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name = request.match_info["name"]
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pos = name.index("/")
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type = name[0:pos]
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name = name[pos+1:]
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body = await request.json()
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example_name = body["name"]
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example = body["example"]
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file_path = folder_paths.get_full_path(
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type, name)
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if not file_path:
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return web.Response(status=404)
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if not example_name.endswith(".txt"):
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example_name += ".txt"
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file_path_no_ext = os.path.splitext(file_path)[0]
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example_file = os.path.join(file_path_no_ext, example_name)
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if not os.path.exists(file_path_no_ext):
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os.mkdir(file_path_no_ext)
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with open(example_file, 'w', encoding='utf8') as f:
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f.write(example)
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return web.Response(status=201)
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@PromptServer.instance.routes.get("/pysssss/images/{type}")
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async def get_images(request):
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type = request.match_info["type"]
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names = folder_paths.get_filename_list(type)
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images = {}
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for item_name in names:
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file_name = os.path.splitext(item_name)[0]
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file_path = folder_paths.get_full_path(type, item_name)
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if file_path is None:
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continue
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file_path_no_ext = os.path.splitext(file_path)[0]
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for ext in ["png", "jpg", "jpeg", "preview.png", "preview.jpeg"]:
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if os.path.isfile(file_path_no_ext + "." + ext):
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images[item_name] = f"{type}/{file_name}.{ext}"
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break
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return web.json_response(images)
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class LoraLoaderWithImages(LoraLoader):
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RETURN_TYPES = (*LoraLoader.RETURN_TYPES, "STRING",)
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RETURN_NAMES = (*getattr(LoraLoader, "RETURN_NAMES",
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LoraLoader.RETURN_TYPES), "example")
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@classmethod
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def INPUT_TYPES(s):
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types = super().INPUT_TYPES()
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types["optional"] = {"prompt": ("STRING", {"hidden": True})}
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return types
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def load_lora(self, **kwargs):
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prompt = kwargs.pop("prompt", "")
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return (*super().load_lora(**kwargs), prompt)
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class CheckpointLoaderSimpleWithImages(CheckpointLoaderSimple):
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RETURN_TYPES = (*CheckpointLoaderSimple.RETURN_TYPES, "STRING",)
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RETURN_NAMES = (*getattr(CheckpointLoaderSimple, "RETURN_NAMES",
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CheckpointLoaderSimple.RETURN_TYPES), "example")
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@classmethod
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def INPUT_TYPES(s):
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types = super().INPUT_TYPES()
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types["optional"] = {"prompt": ("STRING", {"hidden": True})}
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return types
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def load_checkpoint(self, **kwargs):
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prompt = kwargs.pop("prompt", "")
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return (*super().load_checkpoint(**kwargs), prompt)
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NODE_CLASS_MAPPINGS = {
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"LoraLoader|pysssss": LoraLoaderWithImages,
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"CheckpointLoader|pysssss": CheckpointLoaderSimpleWithImages,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LoraLoader|pysssss": "Lora Loader 🐍",
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"CheckpointLoader|pysssss": "Checkpoint Loader 🐍",
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}
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