# SPDX-License-Identifier: Apache-2.0 # Copyright 2025-2026 Raykosan (RaykoStudio) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import folder_paths import comfy.sd import torch import json import os from nodes import UNETLoader, CLIPLoader, VAELoader, LoraLoader, DualCLIPLoader from server import PromptServer import aiohttp CURRENT_DIR = os.path.dirname(os.path.abspath(__file__)) PRESETS_DIR = os.path.join(CURRENT_DIR, "preset_models") LORA_PRESETS_DIR = os.path.join(PRESETS_DIR, "loras") os.makedirs(PRESETS_DIR, exist_ok=True) os.makedirs(LORA_PRESETS_DIR, exist_ok=True) class RaykoModelsLoader: @classmethod def INPUT_TYPES(cls): unet_files = folder_paths.get_filename_list("unet") clip_files = folder_paths.get_filename_list("clip") vae_files = folder_paths.get_filename_list("vae") vae_files_with_pixel = vae_files + ["pixel_space"] weight_dtype_opts = ["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2"] clip_type_opts = [ "stable_diffusion", "stable_cascade", "sd3", "flux", "flux2", "lumina2", "ideogram4", "qwen_image", "boogu", "krea2", "ltxv", "wan", "ace", "hunyuan_image", "hidream", "chroma", "mochi", "cosmos", "pixart", "kolors", "ultrapix", "omnigen2", "ovis", "longcat_image", "cogvideox", "lens", "pixeldit", ] device_opts = ["default", "cpu", "cuda"] required = { "unet_name": (unet_files, {"tooltip": "Diffusion model (UNET)"}), "weight_dtype": (weight_dtype_opts, {"default": "default"}), "use_clip2": ("BOOLEAN", {"default": False, "label": "Enable second CLIP"}), "clip_name": (clip_files, {"tooltip": "First CLIP model (or primary CLIP for dual mode)"}), "clip_name2": (clip_files, {"tooltip": "Second CLIP model (for dual-clip models like Flux, SD3)"}), "clip_type": (clip_type_opts, {"default": "stable_diffusion"}), "clip_device": (device_opts, {"default": "default"}), "vae_name": (vae_files_with_pixel, {"tooltip": "model VAE (includes pixel_space for direct pixel manipulation)"}), "lora_data": ("STRING", {"default": "[]", "multiline": False, "forceInput": False}), } return {"required": required} RETURN_TYPES = ("MODEL", "CLIP", "VAE") RETURN_NAMES = ("MODEL", "CLIP", "VAE") FUNCTION = "load_models" CATEGORY = "🦊 RaykoStudio" DESCRIPTION = "The node combines the loaders of the model, clip, vae and lore. Presets allow quick switching between model configurations (UNET/CLIP/VAE) without affecting LoRA settings." @classmethod def IS_CHANGED(cls, lora_data="[]", **kwargs): import hashlib if lora_data is None: lora_data = "[]" return hashlib.md5(lora_data.encode()).hexdigest() def load_models(self, unet_name, weight_dtype, use_clip2, clip_name, clip_name2, clip_type, clip_device, vae_name, lora_data="[]"): if not lora_data: lora_data = "[]" wd = None if weight_dtype == "default" else weight_dtype model = UNETLoader().load_unet(unet_name=unet_name, weight_dtype=wd)[0] dev = None if clip_device == "default" else clip_device if use_clip2 and clip_name2 and clip_name2 != "None": clip = DualCLIPLoader().load_clip(clip_name1=clip_name, clip_name2=clip_name2, type=clip_type, device=dev)[0] else: clip = CLIPLoader().load_clip(clip_name=clip_name, type=clip_type, device=dev)[0] if vae_name == "pixel_space": sd = {"pixel_space_vae": torch.tensor(1.0)} vae = comfy.sd.VAE(sd=sd, metadata=None) vae.throw_exception_if_invalid() else: vae = VAELoader().load_vae(vae_name=vae_name)[0] try: loras = json.loads(lora_data) if lora_data else [] if not isinstance(loras, list): loras = [] except Exception: loras = [] lora_loader = LoraLoader() for lora in loras: if not isinstance(lora, dict): continue name = lora.get("name", "") strength_model = float(lora.get("strength_model", 1.0)) strength_clip = float(lora.get("strength_clip", strength_model)) enabled = lora.get("enabled", True) if name and name != "None" and enabled: lora_relative_path = name.replace("\\", "/") lora_full_path = folder_paths.get_full_path("loras", lora_relative_path) if lora_full_path: try: model, clip = lora_loader.load_lora(model, clip, lora_relative_path, strength_model, strength_clip) except Exception as e: print(f"[Rayko] ✗ LoRA Error: {e}") return (model, clip, vae) NODE_CLASS_MAPPINGS = {"RaykoModelsLoader": RaykoModelsLoader} NODE_DISPLAY_NAME_MAPPINGS = {"RaykoModelsLoader": "🦊 RS Models Loader"} @PromptServer.instance.routes.get("/rayko/get_loras") async def get_loras(request): return aiohttp.web.json_response(sorted(folder_paths.get_filename_list("loras"), key=lambda x: x.lower())) # --- MODEL PRESETS --- @PromptServer.instance.routes.post("/rayko_models/save_preset") async def rayko_models_save_preset(request): try: data = await request.json() name = "".join(c for c in data.get("name", "").strip() if c.isalnum() or c in " _-").strip() if not name: return aiohttp.web.Response(status=400, text="Invalid name") filepath = os.path.join(PRESETS_DIR, f"{name}.json") with open(filepath, 'w', encoding='utf-8') as f: json.dump({k: data.get(k, "") for k in ["unet_name", "weight_dtype", "use_clip2", "clip_name", "clip_name2", "clip_type", "clip_device", "vae_name"]}, f, indent=2) return aiohttp.web.Response(status=200, text="OK") except Exception as e: return aiohttp.web.Response(status=500, text=str(e)) @PromptServer.instance.routes.post("/rayko_models/list_presets") async def rayko_models_list_presets(request): try: presets = [f[:-5] for f in os.listdir(PRESETS_DIR) if f.endswith('.json')] if os.path.exists(PRESETS_DIR) else [] return aiohttp.web.json_response(sorted(presets, key=lambda x: x.lower())) except Exception as e: return aiohttp.web.Response(status=500, text=str(e)) @PromptServer.instance.routes.post("/rayko_models/load_preset") async def rayko_models_load_preset(request): try: name = (await request.json()).get("name") filepath = os.path.join(PRESETS_DIR, f"{name}.json") if os.path.exists(filepath): with open(filepath, 'r', encoding='utf-8') as f: return aiohttp.web.json_response(json.load(f)) return aiohttp.web.Response(status=404, text="Preset not found") except Exception as e: return aiohttp.web.Response(status=500, text=str(e)) @PromptServer.instance.routes.post("/rayko_models/delete_preset") async def rayko_models_delete_preset(request): try: name = (await request.json()).get("name") filepath = os.path.join(PRESETS_DIR, f"{name}.json") if os.path.exists(filepath): os.remove(filepath) return aiohttp.web.Response(status=200, text="OK") return aiohttp.web.Response(status=404, text="Preset not found") except Exception as e: return aiohttp.web.Response(status=500, text=str(e)) # --- LORA PRESETS --- @PromptServer.instance.routes.post("/rayko_loras/save_preset") async def rayko_loras_save_preset(request): try: data = await request.json() name = "".join(c for c in data.get("name", "").strip() if c.isalnum() or c in " _-").strip() if not name: return aiohttp.web.Response(status=400, text="Invalid name") filepath = os.path.join(LORA_PRESETS_DIR, f"{name}.json") with open(filepath, 'w', encoding='utf-8') as f: json.dump({"lora_rows": data.get("lora_rows", [])}, f, indent=2) return aiohttp.web.Response(status=200, text="OK") except Exception as e: return aiohttp.web.Response(status=500, text=str(e)) @PromptServer.instance.routes.post("/rayko_loras/list_presets") async def rayko_loras_list_presets(request): try: presets = [f[:-5] for f in os.listdir(LORA_PRESETS_DIR) if f.endswith('.json')] if os.path.exists(LORA_PRESETS_DIR) else [] return aiohttp.web.json_response(sorted(presets, key=lambda x: x.lower())) except Exception as e: return aiohttp.web.Response(status=500, text=str(e)) @PromptServer.instance.routes.post("/rayko_loras/load_preset") async def rayko_loras_load_preset(request): try: name = (await request.json()).get("name") filepath = os.path.join(LORA_PRESETS_DIR, f"{name}.json") if os.path.exists(filepath): with open(filepath, 'r', encoding='utf-8') as f: return aiohttp.web.json_response(json.load(f)) return aiohttp.web.Response(status=404, text="Preset not found") except Exception as e: return aiohttp.web.Response(status=500, text=str(e)) @PromptServer.instance.routes.post("/rayko_loras/delete_preset") async def rayko_loras_delete_preset(request): try: name = (await request.json()).get("name") filepath = os.path.join(LORA_PRESETS_DIR, f"{name}.json") if os.path.exists(filepath): os.remove(filepath) return aiohttp.web.Response(status=200, text="OK") return aiohttp.web.Response(status=404, text="Preset not found") except Exception as e: return aiohttp.web.Response(status=500, text=str(e))