jinx/ComfyUI
1
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-08-02 15:04:50 +08:00
Code Issues Activity

Fix and enforce no trailing whitespace.

Browse Source
This commit is contained in:
comfyanonymous
2024-12-31 03:16:37 -05:00
parent a90aafafc1
commit b7572b2f87
20 changed files with 51 additions and 50 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
nodes.py
View File

@@ -51,7 +51,7 @@ class CLIPTextEncode(ComfyNodeABC):
def INPUT_TYPES(s) -> InputTypeDict:
return {
"required": {
"text": (IO.STRING, {"multiline": True, "dynamicPrompts": True, "tooltip": "The text to be encoded."}),
"text": (IO.STRING, {"multiline": True, "dynamicPrompts": True, "tooltip": "The text to be encoded."}),
"clip": (IO.CLIP, {"tooltip": "The CLIP model used for encoding the text."})
}
}
@@ -269,8 +269,8 @@ class VAEDecode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"samples": ("LATENT", {"tooltip": "The latent to be decoded."}),
"required": {
"samples": ("LATENT", {"tooltip": "The latent to be decoded."}),
"vae": ("VAE", {"tooltip": "The VAE model used for decoding the latent."})
}
}
@@ -550,13 +550,13 @@ class CheckpointLoaderSimple:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"required": {
"ckpt_name": (folder_paths.get_filename_list("checkpoints"), {"tooltip": "The name of the checkpoint (model) to load."}),
}
}
RETURN_TYPES = ("MODEL", "CLIP", "VAE")
OUTPUT_TOOLTIPS = ("The model used for denoising latents.",
"The CLIP model used for encoding text prompts.",
OUTPUT_TOOLTIPS = ("The model used for denoising latents.",
"The CLIP model used for encoding text prompts.",
"The VAE model used for encoding and decoding images to and from latent space.")
FUNCTION = "load_checkpoint"
@@ -633,7 +633,7 @@ class LoraLoader:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"required": {
"model": ("MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}),
"clip": ("CLIP", {"tooltip": "The CLIP model the LoRA will be applied to."}),
"lora_name": (folder_paths.get_filename_list("loras"), {"tooltip": "The name of the LoRA."}),
@@ -1162,7 +1162,7 @@ class EmptyLatentImage:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"required": {
"width": ("INT", {"default": 512, "min": 16, "max": MAX_RESOLUTION, "step": 8, "tooltip": "The width of the latent images in pixels."}),
"height": ("INT", {"default": 512, "min": 16, "max": MAX_RESOLUTION, "step": 8, "tooltip": "The height of the latent images in pixels."}),
"batch_size": ("INT", {"default": 1, "min": 1, "max": 4096, "tooltip": "The number of latent images in the batch."})