Add LORA input switch
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@@ -43,7 +43,7 @@
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- ` "wildcards_path": "E:\\python\\automatic\\webui3\\stable-diffusion-webui\\extensions\\sd-dynamic-prompts\\wildcards"`
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- If no path is set the wildcards dir is located at the root of WAS Node Suite as `/wildcards`
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- CLIP Input Switch: Switch between two CLIP inputs based on a boolean switch.
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- CLIP Vision Input Switch: Switch between two CLIP Vision inputs based on a boolean swith.
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- CLIP Vision Input Switch: Switch between two CLIP Vision inputs based on a boolean switch.
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- Conditioning Input Switch: Switch between two conditioning inputs.
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- Constant Number
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- Control Net Model Input Switch: Switch between two Control Net Model inputs based on a boolean switch.
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@@ -95,7 +95,7 @@
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- Image Generate Gradient: Generate a gradient map with desired stops and colors
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- Image High Pass Filter: Apply a high frequency pass to the image returning the details
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- Image History Loader: Load images from history based on the Load Image Batch node. Can define max history in config file. *(requires restart to show last sessions files at this time)*
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- Image Input Switch: Switch between two image inputs
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- Image Input Switch: Switch between two image inputs based on a boolean switch
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- Image Levels Adjustment: Adjust the levels of a image
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- Image Load: Load a *image* from any path on the system, or a url starting with `http`
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- Image Median Filter: Apply a median filter to a image, such as to smooth out details in surfaces
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@@ -184,15 +184,16 @@
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- Latent Noise Injection: Inject latent noise into a latent image
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- Latent Size to Number: Latent sizes in tensor width/height
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- Latent Upscale by Factor: Upscale a latent image by a factor
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- Latent Input Switch: Switch between two latent inputs
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- Latent Input Switch: Switch between two latent inputs based on a boolean switch
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- Logic Boolean: A simple `1` or `0` output to use with logic
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- Lora Input Switch: Switch between two LORAs based on a boolean switch
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- MiDaS Model Loader: Load a MiDaS model as an optional input for MiDaS Depth Approximation
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- MiDaS Depth Approximation: Produce a depth approximation of a single image input
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- MiDaS Mask Image: Mask a input image using MiDaS with a desired color
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- Number Operation
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- Number to Seed
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- Number to Float
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- Number Input Switch: Switch between two number inputs
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- Number Input Switch: Switch between two number inputs based on a boolean switch
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- Number Input Condition: Compare between two inputs or against the A input
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- Number to Int
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- Number to String
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@@ -12692,6 +12692,34 @@ class WAS_unCLIP_Checkpoint_Loader:
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out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=True, embedding_directory=comfy_paths.get_folder_paths("embeddings"))
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return (out[0], out[1], out[2], out[3], os.path.splitext(os.path.basename(ckpt_name))[0])
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class WAS_Lora_Input_Switch:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"model_a": ("MODEL",),
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"clip_a": ("CLIP",),
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"model_b": ("MODEL",),
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"clip_b": ("CLIP",),
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"boolean_number": ("NUMBER",),
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}
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}
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RETURN_TYPES = ("MODEL", "CLIP")
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FUNCTION = "lora_input_switch"
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CATEGORY = "WAS Suite/Logic"
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def lora_input_switch(self, model_a, clip_a, model_b, clip_b, boolean_number=1):
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if int(round(boolean_number)) == 1:
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return (model_a, clip_a)
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else:
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return (model_b, clip_b)
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class WAS_Lora_Loader:
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def __init__(self):
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self.loaded_lora = None;
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@@ -13284,6 +13312,7 @@ NODE_CLASS_MAPPINGS = {
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"Load Image Batch": WAS_Load_Image_Batch,
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"Load Text File": WAS_Text_Load_From_File,
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"Load Lora": WAS_Lora_Loader,
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"Lora Input Switch": WAS_Lora_Input_Switch,
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"Masks Add": WAS_Mask_Add,
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"Masks Subtract": WAS_Mask_Subtract,
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"Mask Arbitrary Region": WAS_Mask_Arbitrary_Region,
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