Add LORA input switch

This commit is contained in:
William Smith
2023-10-01 22:42:04 +01:00
parent 367ec03f07
commit 849f12802a
2 changed files with 34 additions and 4 deletions
+5 -4
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@@ -43,7 +43,7 @@
- ` "wildcards_path": "E:\\python\\automatic\\webui3\\stable-diffusion-webui\\extensions\\sd-dynamic-prompts\\wildcards"`
- If no path is set the wildcards dir is located at the root of WAS Node Suite as `/wildcards`
- CLIP Input Switch: Switch between two CLIP inputs based on a boolean switch.
- CLIP Vision Input Switch: Switch between two CLIP Vision inputs based on a boolean swith.
- CLIP Vision Input Switch: Switch between two CLIP Vision inputs based on a boolean switch.
- Conditioning Input Switch: Switch between two conditioning inputs.
- Constant Number
- Control Net Model Input Switch: Switch between two Control Net Model inputs based on a boolean switch.
@@ -95,7 +95,7 @@
- Image Generate Gradient: Generate a gradient map with desired stops and colors
- Image High Pass Filter: Apply a high frequency pass to the image returning the details
- 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)*
- Image Input Switch: Switch between two image inputs
- Image Input Switch: Switch between two image inputs based on a boolean switch
- Image Levels Adjustment: Adjust the levels of a image
- Image Load: Load a *image* from any path on the system, or a url starting with `http`
- Image Median Filter: Apply a median filter to a image, such as to smooth out details in surfaces
@@ -184,15 +184,16 @@
- Latent Noise Injection: Inject latent noise into a latent image
- Latent Size to Number: Latent sizes in tensor width/height
- Latent Upscale by Factor: Upscale a latent image by a factor
- Latent Input Switch: Switch between two latent inputs
- Latent Input Switch: Switch between two latent inputs based on a boolean switch
- Logic Boolean: A simple `1` or `0` output to use with logic
- Lora Input Switch: Switch between two LORAs based on a boolean switch
- MiDaS Model Loader: Load a MiDaS model as an optional input for MiDaS Depth Approximation
- MiDaS Depth Approximation: Produce a depth approximation of a single image input
- MiDaS Mask Image: Mask a input image using MiDaS with a desired color
- Number Operation
- Number to Seed
- Number to Float
- Number Input Switch: Switch between two number inputs
- Number Input Switch: Switch between two number inputs based on a boolean switch
- Number Input Condition: Compare between two inputs or against the A input
- Number to Int
- Number to String
+29
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@@ -12692,6 +12692,34 @@ class WAS_unCLIP_Checkpoint_Loader:
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"))
return (out[0], out[1], out[2], out[3], os.path.splitext(os.path.basename(ckpt_name))[0])
class WAS_Lora_Input_Switch:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"model_a": ("MODEL",),
"clip_a": ("CLIP",),
"model_b": ("MODEL",),
"clip_b": ("CLIP",),
"boolean_number": ("NUMBER",),
}
}
RETURN_TYPES = ("MODEL", "CLIP")
FUNCTION = "lora_input_switch"
CATEGORY = "WAS Suite/Logic"
def lora_input_switch(self, model_a, clip_a, model_b, clip_b, boolean_number=1):
if int(round(boolean_number)) == 1:
return (model_a, clip_a)
else:
return (model_b, clip_b)
class WAS_Lora_Loader:
def __init__(self):
self.loaded_lora = None;
@@ -13284,6 +13312,7 @@ NODE_CLASS_MAPPINGS = {
"Load Image Batch": WAS_Load_Image_Batch,
"Load Text File": WAS_Text_Load_From_File,
"Load Lora": WAS_Lora_Loader,
"Lora Input Switch": WAS_Lora_Input_Switch,
"Masks Add": WAS_Mask_Add,
"Masks Subtract": WAS_Mask_Subtract,
"Mask Arbitrary Region": WAS_Mask_Arbitrary_Region,