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Adjust known models
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@ -87,9 +87,10 @@ KNOWN_CHECKPOINTS = [
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HuggingFile("jomcs/NeverEnding_Dream-Feb19-2023", "CarDos Anime/cardosAnime_v10.safetensors", show_in_ui=False),
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HuggingFile("jomcs/NeverEnding_Dream-Feb19-2023", "CarDos Anime/cardosAnime_v10.safetensors", show_in_ui=False),
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# from https://github.com/comfyanonymous/ComfyUI_examples/blob/master/area_composition/README.md
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# from https://github.com/comfyanonymous/ComfyUI_examples/blob/master/area_composition/README.md
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HuggingFile("ckpt/anything-v3.0", "Anything-V3.0.ckpt", show_in_ui=False),
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HuggingFile("ckpt/anything-v3.0", "Anything-V3.0.ckpt", show_in_ui=False),
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# from https://github.com/huchenlei/ComfyUI-layerdiffuse
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# latest, popular civitai models
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CivitFile(133005, 357609, filename="juggernautXL_v8Rundiffusion.safetensors"),
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CivitFile(133005, 357609, filename="juggernautXL_v9Rundiffusionphoto2.safetensors"),
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CivitFile(133005, 357609, filename="juggernautXL_v9Rundiffusionphoto2.safetensors"),
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CivitFile(112902, 351306, filename="dreamshaperXL_v21TurboDPMSDE.safetensors"),
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CivitFile(139562, 344487, filename="realvisxlV40_v40Bakedvae.safetensors"),
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]
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]
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KNOWN_UNCLIP_CHECKPOINTS = [
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KNOWN_UNCLIP_CHECKPOINTS = [
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@ -114,3 +115,8 @@ KNOWN_GLIGEN_MODELS = [
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KNOWN_CLIP_VISION_MODELS = [
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KNOWN_CLIP_VISION_MODELS = [
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HuggingFile("comfyanonymous/clip_vision_g", "clip_vision_g.safetensors")
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HuggingFile("comfyanonymous/clip_vision_g", "clip_vision_g.safetensors")
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]
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]
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KNOWN_LORAS = [
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CivitFile(model_id=211577, model_version_id=238349, filename="openxl_handsfix.safetensors"),
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# todo: a lot of the slider loras are useful and should also be included
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]
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@ -24,7 +24,7 @@ from ..cli_args import args
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from ..cmd import folder_paths, latent_preview
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from ..cmd import folder_paths, latent_preview
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from ..model_downloader import get_filename_list_with_downloadable, get_or_download, KNOWN_CHECKPOINTS, \
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from ..model_downloader import get_filename_list_with_downloadable, get_or_download, KNOWN_CHECKPOINTS, \
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KNOWN_CLIP_VISION_MODELS, KNOWN_GLIGEN_MODELS, KNOWN_UNCLIP_CHECKPOINTS
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KNOWN_CLIP_VISION_MODELS, KNOWN_GLIGEN_MODELS, KNOWN_UNCLIP_CHECKPOINTS, KNOWN_LORAS
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from ..model_downloader_types import HuggingFile
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from ..model_downloader_types import HuggingFile
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from ..nodes.common import MAX_RESOLUTION
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from ..nodes.common import MAX_RESOLUTION
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from .. import controlnet
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from .. import controlnet
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@ -593,7 +593,7 @@ class LoraLoader:
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def INPUT_TYPES(s):
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def INPUT_TYPES(s):
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return {"required": { "model": ("MODEL",),
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return {"required": { "model": ("MODEL",),
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"clip": ("CLIP", ),
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"clip": ("CLIP", ),
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"lora_name": (folder_paths.get_filename_list("loras"),),
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"lora_name": (get_filename_list_with_downloadable("loras", KNOWN_LORAS),),
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"strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
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"strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
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"strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
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"strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
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}}
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}}
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@ -606,7 +606,7 @@ class LoraLoader:
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if strength_model == 0 and strength_clip == 0:
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if strength_model == 0 and strength_clip == 0:
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return (model, clip)
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return (model, clip)
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lora_path = folder_paths.get_full_path("loras", lora_name)
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lora_path = get_or_download("loras", lora_name, KNOWN_LORAS)
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lora = None
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lora = None
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if self.loaded_lora is not None:
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if self.loaded_lora is not None:
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if self.loaded_lora[0] == lora_path:
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if self.loaded_lora[0] == lora_path:
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