Adding the metadata display function for LoRA to the RS Models Loader node
This commit is contained in:
+189
-1
@@ -18,6 +18,9 @@ import comfy.sd
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import torch
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import json
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import os
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import struct
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import hashlib
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import re
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from nodes import UNETLoader, CLIPLoader, VAELoader, LoraLoader, DualCLIPLoader
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from server import PromptServer
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import aiohttp
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@@ -25,9 +28,62 @@ import aiohttp
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CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
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PRESETS_DIR = os.path.join(CURRENT_DIR, "preset_models")
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LORA_PRESETS_DIR = os.path.join(PRESETS_DIR, "loras")
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RAYKO_LORA_DATA_DIR = os.path.join(CURRENT_DIR, "rayko_lora_data")
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os.makedirs(PRESETS_DIR, exist_ok=True)
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os.makedirs(LORA_PRESETS_DIR, exist_ok=True)
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os.makedirs(RAYKO_LORA_DATA_DIR, exist_ok=True)
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# --- Helpers for LoRA Info ---
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def clean_html(text):
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if not text:
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return ""
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clean = re.sub(r'<[^>]+>', ' ', str(text))
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clean = re.sub(r'\s+', ' ', clean).strip()
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return clean
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def compute_sha256(file_path):
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sha256_hash = hashlib.sha256()
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with open(file_path, "rb") as f:
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for chunk in iter(lambda: f.read(8192), b""):
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sha256_hash.update(chunk)
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return sha256_hash.hexdigest()
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def save_to_rayko_db(file_hash, data, source, overwrite=False):
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db_path = os.path.join(RAYKO_LORA_DATA_DIR, f"{file_hash}.json")
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if not overwrite and os.path.exists(db_path):
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return False
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db_data = {
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"hash": file_hash,
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"name": data.get("full_name", ""),
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"trained_words": data.get("trained_words", []),
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"description": data.get("description", ""),
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"source": source,
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"imported_at": __import__('datetime').datetime.now().isoformat()
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}
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with open(db_path, 'w', encoding='utf-8') as f:
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json.dump(db_data, f, indent=2, ensure_ascii=False)
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return True
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def extract_metadata_from_safetensors(lora_full_path):
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try:
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with open(lora_full_path, "rb") as f:
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header_size = struct.unpack("<Q", f.read(8))[0]
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header_bytes = f.read(header_size)
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header = json.loads(header_bytes.decode("utf-8"))
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if "__metadata__" in header:
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meta = header["__metadata__"]
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return {
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"full_name": meta.get("modelspec.title", ""),
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"trained_words": [t.strip() for t in meta.get("modelspec.tags", "").split(",") if t.strip()] if "modelspec.tags" in meta else [],
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"description": clean_html(meta.get("modelspec.description", "") or meta.get("ss_training_comment", ""))
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}
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except Exception:
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pass
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return None
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# --- Node ---
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class RaykoModelsLoader:
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@classmethod
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@@ -64,7 +120,6 @@ class RaykoModelsLoader:
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@classmethod
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def IS_CHANGED(cls, lora_data="[]", **kwargs):
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import hashlib
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if lora_data is None: lora_data = "[]"
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return hashlib.md5(lora_data.encode()).hexdigest()
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@@ -115,10 +170,143 @@ class RaykoModelsLoader:
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NODE_CLASS_MAPPINGS = {"RaykoModelsLoader": RaykoModelsLoader}
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NODE_DISPLAY_NAME_MAPPINGS = {"RaykoModelsLoader": "🦊 RS Models Loader"}
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# --- General Endpoints ---
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@PromptServer.instance.routes.get("/rayko/get_loras")
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async def get_loras(request):
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return aiohttp.web.json_response(sorted(folder_paths.get_filename_list("loras"), key=lambda x: x.lower()))
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@PromptServer.instance.routes.post("/rayko/get_lora_info")
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async def rayko_get_lora_info(request):
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try:
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data = await request.json()
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lora_name = data.get("name", "")
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if not lora_name:
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return aiohttp.web.Response(status=400, text="No name provided")
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lora_relative_path = lora_name.replace("\\", "/")
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lora_full_path = folder_paths.get_full_path("loras", lora_relative_path)
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if not lora_full_path or not os.path.exists(lora_full_path):
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return aiohttp.web.json_response({"error": "File not found"})
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file_hash = compute_sha256(lora_full_path)
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db_path = os.path.join(RAYKO_LORA_DATA_DIR, f"{file_hash}.json")
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if os.path.exists(db_path):
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try:
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with open(db_path, 'r', encoding='utf-8') as f:
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db_data = json.load(f)
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return aiohttp.web.json_response({
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"full_name": db_data.get("name", lora_name),
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"trained_words": db_data.get("trained_words", []),
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"description": clean_html(db_data.get("description", "")),
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"source": db_data.get("source", "rayko_db")
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})
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except Exception:
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pass
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safetensors_meta = extract_metadata_from_safetensors(lora_full_path)
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if safetensors_meta and (safetensors_meta["trained_words"] or safetensors_meta["description"]):
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save_to_rayko_db(file_hash, safetensors_meta, "safetensors")
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return aiohttp.web.json_response({
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"full_name": safetensors_meta["full_name"] or lora_name,
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"trained_words": safetensors_meta["trained_words"],
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"description": safetensors_meta["description"],
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"source": "safetensors"
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})
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return aiohttp.web.json_response({
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"full_name": lora_name,
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"trained_words": [],
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"description": "",
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"source": "none"
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})
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except Exception as e:
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return aiohttp.web.Response(status=500, text=str(e))
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@PromptServer.instance.routes.post("/rayko/fetch_civitai_info")
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async def rayko_fetch_civitai_info(request):
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try:
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data = await request.json()
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lora_name = data.get("name", "")
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if not lora_name:
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return aiohttp.web.Response(status=400, text="No name provided")
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lora_relative_path = lora_name.replace("\\", "/")
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lora_full_path = folder_paths.get_full_path("loras", lora_relative_path)
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if not lora_full_path or not os.path.exists(lora_full_path):
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return aiohttp.web.json_response({"error": "File not found"})
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file_hash = compute_sha256(lora_full_path)
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civitai_url = f"https://civitai.com/api/v1/model-versions/by-hash/{file_hash}"
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async with aiohttp.ClientSession() as session:
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async with session.get(civitai_url, headers={"User-Agent": "ComfyUI-RaykoStudio/1.0"}) as response:
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if response.status == 404:
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return aiohttp.web.json_response({"error": "not_found", "message": "Not found on Civitai."})
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elif response.status == 429:
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return aiohttp.web.json_response({"error": "rate_limit", "message": "Rate limit reached."})
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elif response.status != 200:
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return aiohttp.web.json_response({"error": "api_error", "message": f"API status {response.status}"})
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civitai_data = await response.json()
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model_id = civitai_data.get("modelId")
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model_tags = []
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if model_id:
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try:
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model_url = f"https://civitai.com/api/v1/models/{model_id}"
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async with session.get(model_url, headers={"User-Agent": "ComfyUI-RaykoStudio/1.0"}) as model_response:
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if model_response.status == 200:
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model_data = await model_response.json()
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model_tags = model_data.get("tags", [])
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except Exception as e:
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print(f"[Rayko] Error fetching full model details: {e}")
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raw_trained = civitai_data.get("trainedWords", [])
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trained_words = []
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if isinstance(raw_trained, list):
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trained_words.extend([str(t).strip() for t in raw_trained if str(t).strip()])
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if isinstance(model_tags, list):
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trained_words.extend([str(t).strip() for t in model_tags if str(t).strip()])
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trained_words = list(dict.fromkeys(trained_words))
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raw_description = civitai_data.get("description", "")
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clean_description = clean_html(raw_description)
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model_name = civitai_data.get("model", {}).get("name", "")
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version_name = civitai_data.get("name", "")
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if model_name:
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if version_name and version_name.lower() not in ["v1", "v1.0", "default", "latest", ""]:
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full_name = f"{model_name} ({version_name})"
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else:
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full_name = model_name
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else:
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full_name = lora_name
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cache_data = {
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"full_name": full_name,
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"trained_words": trained_words,
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"description": clean_description
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}
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save_to_rayko_db(file_hash, cache_data, "civitai", overwrite=True)
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return aiohttp.web.json_response({
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"full_name": full_name,
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"trained_words": trained_words,
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"description": clean_description,
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"source": "civitai"
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})
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except aiohttp.ClientError as e:
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return aiohttp.web.json_response({"error": "network", "message": f"Network error: {str(e)}"})
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except Exception as e:
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return aiohttp.web.Response(status=500, text=str(e))
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# --- MODEL PRESETS ---
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@PromptServer.instance.routes.post("/rayko_models/save_preset")
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async def rayko_models_save_preset(request):
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+1
-1
@@ -29,7 +29,7 @@ IGNORED_MODULES: Set[str] = {'__init__.py'}
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REQUIRED_MODULES: Set[str] = set()
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PACKAGE_DISPLAY_NAME = "ComfyUI_RaykoStudio"
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__version__ = "0.31.0"
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__version__ = "0.31.1"
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def load_modules():
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print(f"🦊 {PACKAGE_DISPLAY_NAME}: Version: {__version__}")
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+1
-1
@@ -1,6 +1,6 @@
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{
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"name": "ComfyUI_RaykoStudio",
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"version": "0.31.0",
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"version": "0.31.1",
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"description": "Set of custom nodes for ComfyUI providing additional image processing capabilities",
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"author": "Raykosan",
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"license": "Apache License 2.0",
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+1
-1
@@ -1,7 +1,7 @@
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[project]
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name = "ComfyUI_RaykoStudio"
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description = "Set of custom nodes for ComfyUI providing additional image processing capabilities"
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version = "0.31.0"
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version = "0.31.1"
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license = { file = "LICENSE" }
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dependencies = ["torch", "numpy", "Pillow>=10.0.0", "freetype-py>=2.5.1", "pycairo>=1.29.0", "scipy>=1.10.0"]
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+202
-17
@@ -92,7 +92,6 @@ app.registerExtension({
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this.oldWheelHandler = null;
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this.currentFilter = "";
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// Drag & Drop state
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this.draggingIndex = null;
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this.dragCurrentY = null;
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@@ -325,10 +324,10 @@ app.registerExtension({
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if (!res.ok) {
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return res.text().then(text => { throw new Error(text || res.statusText); });
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}
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showRaykoToast("Preset saved successfully!", "success", self);
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showRaykoToast("Preset saved successfully!", "success", this);
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})
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.catch(err => {
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showRaykoToast("Failed to save preset: " + err.message, "error", self);
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showRaykoToast("Failed to save preset: " + err.message, "error", this);
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});
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};
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@@ -374,9 +373,9 @@ app.registerExtension({
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const data = await res2.json();
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if (pendingSelectType === "model") applyPresetData(data);
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else applyLoraPresetData(data);
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showRaykoToast("Preset loaded!", "success", self);
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showRaykoToast("Preset loaded!", "success", this);
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} catch (err) {
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showRaykoToast("Failed to load preset: " + err.message, "error", self);
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showRaykoToast("Failed to load preset: " + err.message, "error", this);
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}
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};
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@@ -400,7 +399,7 @@ app.registerExtension({
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presetListOverlay.appendChild(row);
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});
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} catch (e) {
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showRaykoToast("Failed to list presets: " + e.message, "error", self);
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showRaykoToast("Failed to list presets: " + e.message, "error", this);
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presetListOverlay.textContent = "Error loading";
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}
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};
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@@ -432,9 +431,9 @@ app.registerExtension({
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deleteConfirmOverlay.style.display = "none";
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presetListOverlay.style.display = "none";
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pendingDeleteName = null;
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showRaykoToast("Preset deleted!", "success", self);
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showRaykoToast("Preset deleted!", "success", this);
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} catch (err) {
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showRaykoToast("Failed to delete preset: " + err.message, "error", self);
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showRaykoToast("Failed to delete preset: " + err.message, "error", this);
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}
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}
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});
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@@ -728,7 +727,6 @@ app.registerExtension({
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const dataIdx = visibleStart + i;
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const row = this.loraRows[dataIdx];
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// Если эта строка перетаскивается, рисуем её позже, а сейчас пропускаем
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if (this.draggingIndex === dataIdx) continue;
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const y = startY + (i * this.rowHeight);
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@@ -738,7 +736,6 @@ app.registerExtension({
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ctx.fillStyle = i % 2 === 0 ? "rgba(0,0,0,0.3)" : "rgba(0,0,0,0.15)";
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ctx.fillRect(padding, y, this.size[0] - (padding * 2), h);
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// Drag handle zone
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this.clickZones.push({ type: "drag", index: dataIdx, x: padding, y: y, w: 20, h: h });
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ctx.fillStyle = "#888";
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ctx.font = "14px sans-serif";
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@@ -751,8 +748,15 @@ app.registerExtension({
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ctx.fill();
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this.clickZones.push({ type: "toggle", index: dataIdx, x: toggleX, y: y, w: 24, h: h });
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const nameX = toggleX + 30;
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const nameW = this.size[0] - (padding * 2) - 50 - rightPanelWidth - 20;
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const infoX = toggleX + 15;
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const infoW = 24;
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ctx.fillStyle = row.enabled ? "#4CAF50" : "#555";
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ctx.font = "bold 18px sans-serif";
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ctx.fillText("ℹ️", infoX + 2, toggleY + 6);
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this.clickZones.push({ type: "info", index: dataIdx, x: infoX, y: y, w: infoW, h: h });
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const nameX = infoX + infoW + 5;
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const nameW = this.size[0] - (padding * 2) - 50 - rightPanelWidth - 20 - infoW - 5;
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ctx.fillStyle = row.enabled ? "#fff" : "#777";
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ctx.font = "12px sans-serif";
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let displayName = row.name;
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@@ -800,11 +804,10 @@ app.registerExtension({
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this.clickZones.push({ type: "delete", index: dataIdx, x: arrowRX + 35, y: y, w: 30, h: h });
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}
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// Рисуем перетаскиваемую строку поверх остальных
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if (this.draggingIndex !== null && this.dragCurrentY !== null) {
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const row = this.loraRows[this.draggingIndex];
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const h = this.rowHeight - 2;
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const y = this.dragCurrentY - (h / 2); // Центрируем по курсору
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const y = this.dragCurrentY - (h / 2);
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const toggleY = y + h/2;
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const padding = 10;
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@@ -820,7 +823,6 @@ app.registerExtension({
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ctx.fillText(row.name, padding + 25, toggleY + 4);
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ctx.globalAlpha = 1.0;
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// Подсветка целевой позиции
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const relativeY = this.dragCurrentY - startY;
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let targetIndex = Math.floor(relativeY / this.rowHeight) + this.scrollOffset;
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targetIndex = Math.max(0, Math.min(targetIndex, this.loraRows.length - 1));
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@@ -870,12 +872,16 @@ app.registerExtension({
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this.draggingIndex = zone.index;
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this.dragCurrentY = pos[1];
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if (this.graph) this.graph.setDirtyCanvas(true, true);
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return true; // Захватываем мышь
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return true;
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} else if (zone.type === "toggle") {
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this.loraRows[zone.index].enabled = !this.loraRows[zone.index].enabled;
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this.syncData();
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if (this.graph) this.graph.setDirtyCanvas(true, true);
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return true;
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} else if (zone.type === "info") {
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const loraName = this.loraRows[zone.index].name;
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this.showLoraInfo(loraName);
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return true;
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} else if (zone.type === "strength_input") {
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const newValue = prompt("Enter strength LoRA:", this.loraRows[zone.index].strength_model.toFixed(2));
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if (newValue !== null) {
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@@ -924,7 +930,6 @@ app.registerExtension({
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return false;
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};
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// --- НОВЫЕ МЕТОДЫ ДЛЯ DRAG & DROP ---
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nodeType.prototype.onMouseMove = function(e, pos, canvas) {
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if (this.draggingIndex !== null) {
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this.dragCurrentY = pos[1];
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@@ -1188,6 +1193,186 @@ app.registerExtension({
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});
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};
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nodeType.prototype.showLoraInfo = function(loraName) {
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const existingPopup = document.getElementById("rayko-lora-info-popup");
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if (existingPopup) existingPopup.remove();
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const popup = document.createElement("div");
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popup.id = "rayko-lora-info-popup";
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popup.style.cssText = `
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position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%);
|
||||
background: #1a1a1a; border: 1px solid #444; border-radius: 8px; padding: 20px;
|
||||
max-width: 500px; max-height: 400px; overflow-y: auto; z-index: 100001;
|
||||
box-shadow: 0 4px 20px rgba(0,0,0,0.8); font-family: sans-serif;
|
||||
`;
|
||||
|
||||
const header = document.createElement("div");
|
||||
header.style.cssText = `display: flex; justify-content: space-between; align-items: center; margin-bottom: 15px; padding-bottom: 10px; border-bottom: 1px solid #333;`;
|
||||
|
||||
const title = document.createElement("div");
|
||||
title.textContent = "LoRA Info";
|
||||
title.style.cssText = `color: #fff; font-size: 16px; font-weight: bold;`;
|
||||
|
||||
const closeBtn = document.createElement("button");
|
||||
closeBtn.textContent = "✕";
|
||||
closeBtn.style.cssText = `background: transparent; border: none; color: #888; font-size: 20px; cursor: pointer; padding: 0 5px; line-height: 1;`;
|
||||
closeBtn.onmouseenter = () => closeBtn.style.color = "#fff";
|
||||
closeBtn.onmouseleave = () => closeBtn.style.color = "#888";
|
||||
closeBtn.onclick = () => { popup.remove(); document.removeEventListener("keydown", handleEsc); };
|
||||
|
||||
header.appendChild(title);
|
||||
header.appendChild(closeBtn);
|
||||
popup.appendChild(header);
|
||||
|
||||
const fullNameLabel = document.createElement("div");
|
||||
fullNameLabel.textContent = "Full Name:";
|
||||
fullNameLabel.style.cssText = `color: #888; font-size: 12px; margin-bottom: 5px;`;
|
||||
|
||||
const fullName = document.createElement("div");
|
||||
fullName.textContent = loraName;
|
||||
fullName.style.cssText = `color: #fff; font-size: 13px; background: #2a2a2a; padding: 8px; border-radius: 4px; margin-bottom: 15px; word-break: break-all;`;
|
||||
|
||||
popup.appendChild(fullNameLabel);
|
||||
popup.appendChild(fullName);
|
||||
|
||||
const content = document.createElement("div");
|
||||
content.style.cssText = `color: #999; font-size: 13px; text-align: center; padding: 20px;`;
|
||||
content.textContent = "Loading...";
|
||||
popup.appendChild(content);
|
||||
|
||||
const sourceLabel = document.createElement("div");
|
||||
sourceLabel.style.cssText = `color: #666; font-size: 10px; text-align: right; margin-top: 10px; font-style: italic;`;
|
||||
popup.appendChild(sourceLabel);
|
||||
|
||||
document.body.appendChild(popup);
|
||||
|
||||
const handleEsc = (e) => { if (e.key === "Escape") { popup.remove(); document.removeEventListener("keydown", handleEsc); } };
|
||||
document.addEventListener("keydown", handleEsc);
|
||||
|
||||
const updateContent = (data) => {
|
||||
content.innerHTML = "";
|
||||
sourceLabel.textContent = `Source: ${data.source || 'unknown'}`;
|
||||
|
||||
if (data.error) {
|
||||
content.textContent = data.message || "No metadata available";
|
||||
content.style.color = "#f44336";
|
||||
return;
|
||||
}
|
||||
|
||||
if (data.full_name && data.full_name !== loraName) {
|
||||
fullName.textContent = data.full_name;
|
||||
}
|
||||
|
||||
if (data.trained_words && data.trained_words.length > 0) {
|
||||
const twLabel = document.createElement("div");
|
||||
twLabel.textContent = "Trained Words:";
|
||||
twLabel.style.cssText = `color: #888; font-size: 12px; margin-bottom: 8px;`;
|
||||
content.appendChild(twLabel);
|
||||
|
||||
const twContainer = document.createElement("div");
|
||||
twContainer.style.cssText = `display: flex; flex-wrap: wrap; gap: 6px; margin-bottom: 15px;`;
|
||||
|
||||
data.trained_words.forEach(word => {
|
||||
const chip = document.createElement("div");
|
||||
chip.textContent = word;
|
||||
chip.style.cssText = `background: #2a3a2a; color: #4CAF50; padding: 4px 10px; border-radius: 12px; font-size: 11px; border: 1px solid #4CAF50; cursor: pointer; user-select: none;`;
|
||||
chip.onmouseenter = () => { chip.style.background = "#3a5a3a"; chip.style.borderColor = "#66dd66"; };
|
||||
chip.onmouseleave = () => { chip.style.background = "#2a3a2a"; chip.style.borderColor = "#4CAF50"; };
|
||||
chip.onclick = () => {
|
||||
navigator.clipboard.writeText(word).then(() => {
|
||||
showRaykoToast(`Copied: "${word}"`, "success", this);
|
||||
popup.remove();
|
||||
document.removeEventListener("keydown", handleEsc);
|
||||
}).catch(() => showRaykoToast("Failed to copy", "error", this));
|
||||
};
|
||||
twContainer.appendChild(chip);
|
||||
});
|
||||
content.appendChild(twContainer);
|
||||
|
||||
const copyBtn = document.createElement("button");
|
||||
copyBtn.textContent = "📋 Copy All";
|
||||
copyBtn.style.cssText = `background: #1a3a5a; color: #aadaff; border: 1px solid #5090cc; border-radius: 4px; padding: 6px 12px; cursor: pointer; font-size: 11px; margin-bottom: 15px;`;
|
||||
copyBtn.onmouseenter = () => copyBtn.style.background = "#2a4a6a";
|
||||
copyBtn.onmouseleave = () => copyBtn.style.background = "#1a3a5a";
|
||||
copyBtn.onclick = () => {
|
||||
const text = data.trained_words.join(", ");
|
||||
navigator.clipboard.writeText(text).then(() => {
|
||||
showRaykoToast("Trained words copied!", "success", this);
|
||||
popup.remove();
|
||||
document.removeEventListener("keydown", handleEsc);
|
||||
}).catch(() => showRaykoToast("Failed to copy", "error", this));
|
||||
};
|
||||
content.appendChild(copyBtn);
|
||||
}
|
||||
|
||||
if (data.description) {
|
||||
const descLabel = document.createElement("div");
|
||||
descLabel.textContent = "Description:";
|
||||
descLabel.style.cssText = `color: #888; font-size: 12px; margin-bottom: 5px;`;
|
||||
content.appendChild(descLabel);
|
||||
|
||||
const desc = document.createElement("div");
|
||||
desc.textContent = data.description;
|
||||
desc.style.cssText = `color: #ccc; font-size: 12px; background: #2a2a2a; padding: 8px; border-radius: 4px; line-height: 1.4;`;
|
||||
content.appendChild(desc);
|
||||
}
|
||||
|
||||
if (!data.trained_words?.length && !data.description) {
|
||||
content.textContent = "No metadata available";
|
||||
content.style.color = "#888";
|
||||
}
|
||||
|
||||
const actionsDiv = document.createElement("div");
|
||||
actionsDiv.style.cssText = `display: flex; gap: 8px; margin-top: 15px; flex-wrap: wrap;`;
|
||||
|
||||
const fetchBtn = document.createElement("button");
|
||||
fetchBtn.textContent = "🌐 Fetch from Civitai";
|
||||
fetchBtn.style.cssText = `flex: 1; background: #3a2a1a; color: #fbbf24; border: 1px solid #fbbf24; border-radius: 4px; padding: 6px 12px; cursor: pointer; font-size: 11px;`;
|
||||
fetchBtn.onmouseenter = () => fetchBtn.style.background = "#4a3a2a";
|
||||
fetchBtn.onmouseleave = () => fetchBtn.style.background = "#3a2a1a";
|
||||
fetchBtn.onclick = async () => {
|
||||
fetchBtn.textContent = "⏳ Loading...";
|
||||
fetchBtn.disabled = true;
|
||||
fetchBtn.style.opacity = "0.5";
|
||||
|
||||
try {
|
||||
const res = await fetch("/rayko/fetch_civitai_info", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ name: loraName })
|
||||
});
|
||||
const result = await res.json();
|
||||
if (result.error) {
|
||||
content.textContent = result.message || "Error fetching from Civitai";
|
||||
content.style.color = "#f44336";
|
||||
sourceLabel.textContent = "";
|
||||
} else {
|
||||
updateContent(result);
|
||||
}
|
||||
} catch (err) {
|
||||
content.textContent = "Network error";
|
||||
content.style.color = "#f44336";
|
||||
sourceLabel.textContent = "";
|
||||
}
|
||||
};
|
||||
actionsDiv.appendChild(fetchBtn);
|
||||
|
||||
content.appendChild(actionsDiv);
|
||||
};
|
||||
|
||||
fetch("/rayko/get_lora_info", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ name: loraName })
|
||||
})
|
||||
.then(res => res.json())
|
||||
.then(updateContent)
|
||||
.catch(err => {
|
||||
content.textContent = "Error loading metadata";
|
||||
content.style.color = "#f44336";
|
||||
});
|
||||
};
|
||||
|
||||
nodeType.prototype.updateUI = function() {
|
||||
this.syncData();
|
||||
if (this.graph) this.graph.setDirtyCanvas(true, true);
|
||||
|
||||
Reference in New Issue
Block a user