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/ksampler_config.py

@@ -0,0 +1,56 @@
+"""Some basic config stuff I use for SDXL."""
+
+from .constants import get_category, get_name
+from nodes import MAX_RESOLUTION
+import comfy.samplers
+
+
+class RgthreeKSamplerConfig:
+  """Some basic config stuff I started using for SDXL, but useful in other spots too."""
+
+  NAME = get_name('KSampler Config')
+  CATEGORY = get_category()
+
+  @classmethod
+  def INPUT_TYPES(cls):  # pylint: disable = invalid-name, missing-function-docstring
+    return {
+      "required": {
+        "steps_total": ("INT", {
+          "default": 30,
+          "min": 1,
+          "max": MAX_RESOLUTION,
+          "step": 1,
+        }),
+        "refiner_step": ("INT", {
+          "default": 24,
+          "min": 1,
+          "max": MAX_RESOLUTION,
+          "step": 1,
+        }),
+        "cfg": ("FLOAT", {
+          "default": 8.0,
+          "min": 0.0,
+          "max": 100.0,
+          "step": 0.5,
+        }),
+        "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
+        "scheduler": (comfy.samplers.KSampler.SCHEDULERS,),
+        #"refiner_ascore_pos": ("FLOAT", {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01}),
+        #"refiner_ascore_neg": ("FLOAT", {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01}),
+      },
+    }
+
+  RETURN_TYPES = ("INT", "INT", "FLOAT", comfy.samplers.KSampler.SAMPLERS,
+                  comfy.samplers.KSampler.SCHEDULERS)
+  RETURN_NAMES = ("STEPS", "REFINER_STEP", "CFG", "SAMPLER", "SCHEDULER")
+  FUNCTION = "main"
+
+  def main(self, steps_total, refiner_step, cfg, sampler_name, scheduler):
+    """main"""
+    return (
+      steps_total,
+      refiner_step,
+      cfg,
+      sampler_name,
+      scheduler,
+    )