Add custom nodes, Civitai loras (LFS), and vast.ai setup script

Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

custom_nodes/rgthree-comfy/py/image_inset_crop.py

@@ -0,0 +1,93 @@
+"""Image Inset Crop, with percentages."""
+from .log import log_node_info
+from .constants import get_category, get_name
+from nodes import MAX_RESOLUTION
+
+
+def get_new_bounds(width, height, left, right, top, bottom):
+  """Returns the new bounds for an image with inset crop data."""
+  left = 0 + left
+  right = width - right
+  top = 0 + top
+  bottom = height - bottom
+  return (left, right, top, bottom)
+
+
+class RgthreeImageInsetCrop:
+  """Image Inset Crop, with percentages."""
+
+  NAME = get_name('Image Inset Crop')
+  CATEGORY = get_category()
+
+  @classmethod
+  def INPUT_TYPES(cls):  # pylint: disable = invalid-name, missing-function-docstring
+    return {
+      "required": {
+        "image": ("IMAGE",),
+        "measurement": (['Pixels', 'Percentage'],),
+        "left": ("INT", {
+          "default": 0,
+          "min": 0,
+          "max": MAX_RESOLUTION,
+          "step": 8
+        }),
+        "right": ("INT", {
+          "default": 0,
+          "min": 0,
+          "max": MAX_RESOLUTION,
+          "step": 8
+        }),
+        "top": ("INT", {
+          "default": 0,
+          "min": 0,
+          "max": MAX_RESOLUTION,
+          "step": 8
+        }),
+        "bottom": ("INT", {
+          "default": 0,
+          "min": 0,
+          "max": MAX_RESOLUTION,
+          "step": 8
+        }),
+      },
+    }
+
+  RETURN_TYPES = ("IMAGE",)
+  FUNCTION = "crop"
+
+  # pylint: disable = too-many-arguments
+  def crop(self, measurement, left, right, top, bottom, image=None):
+    """Does the crop."""
+
+    _, height, width, _ = image.shape
+
+    if measurement == 'Percentage':
+      left = int(width - (width * (100 - left) / 100))
+      right = int(width - (width * (100 - right) / 100))
+      top = int(height - (height * (100 - top) / 100))
+      bottom = int(height - (height * (100 - bottom) / 100))
+
+    # Snap to 8 pixels
+    left = left // 8 * 8
+    right = right // 8 * 8
+    top = top // 8 * 8
+    bottom = bottom // 8 * 8
+
+    if left == 0 and right == 0 and bottom == 0 and top == 0:
+      return (image,)
+
+    inset_left, inset_right, inset_top, inset_bottom = get_new_bounds(width, height, left, right,
+                                                                      top, bottom)
+    if inset_top > inset_bottom:
+      raise ValueError(
+        f"Invalid cropping dimensions top ({inset_top}) exceeds bottom ({inset_bottom})")
+    if inset_left > inset_right:
+      raise ValueError(
+        f"Invalid cropping dimensions left ({inset_left}) exceeds right ({inset_right})")
+
+    log_node_info(
+      self.NAME, f'Cropping image {width}x{height} width inset by {inset_left},{inset_right}, ' +
+      f'and height inset by {inset_top}, {inset_bottom}')
+    image = image[:, inset_top:inset_bottom, inset_left:inset_right, :]
+
+    return (image,)