Fix some fp8 scaled checkpoints no longer working.

Added note about additional supported models in ComfyUI.

README.md

@@ -61,6 +61,7 @@ See what ComfyUI can do with the [newer template workflows](https://comfy.org/wo
 
 ## Features
 - Nodes/graph/flowchart interface to experiment and create complex Stable Diffusion workflows without needing to code anything.
+- NOTE: There are many more models supported than the list below, if you want to see what is supported see our templates list inside ComfyUI.
 - Image Models
    - SD1.x, SD2.x ([unCLIP](https://comfyanonymous.github.io/ComfyUI_examples/unclip/))
    - [SDXL](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/), [SDXL Turbo](https://comfyanonymous.github.io/ComfyUI_examples/sdturbo/)

comfy/sd.py

@@ -1745,6 +1745,8 @@ def load_diffusion_model_state_dict(sd, model_options={}, metadata=None, disable
     temp_sd = comfy.utils.state_dict_prefix_replace(sd, {diffusion_model_prefix: ""}, filter_keys=True)
     if len(temp_sd) > 0:
         sd = temp_sd
+        if custom_operations is None:
+            sd, metadata = comfy.utils.convert_old_quants(sd, "", metadata=metadata)
 
     parameters = comfy.utils.calculate_parameters(sd)
     weight_dtype = comfy.utils.weight_dtype(sd)

comfy_extras/nodes_curve.py

@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-import numpy as np
-
 from comfy_api.latest import ComfyExtension, io
 from comfy_api.input import CurveInput
 from typing_extensions import override
@@ -34,58 +32,10 @@ class CurveEditor(io.ComfyNode):
         return io.NodeOutput(result, ui=ui) if ui else io.NodeOutput(result)
 
 
-class ImageHistogram(io.ComfyNode):
-    @classmethod
-    def define_schema(cls):
-        return io.Schema(
-            node_id="ImageHistogram",
-            display_name="Image Histogram",
-            category="utils",
-            inputs=[
-                io.Image.Input("image"),
-            ],
-            outputs=[
-                io.Histogram.Output("rgb"),
-                io.Histogram.Output("luminance"),
-                io.Histogram.Output("red"),
-                io.Histogram.Output("green"),
-                io.Histogram.Output("blue"),
-            ],
-        )
-
-    @classmethod
-    def execute(cls, image) -> io.NodeOutput:
-        img = image[0].cpu().numpy()
-        img_uint8 = np.clip(img * 255, 0, 255).astype(np.uint8)
-
-        def bincount(data):
-            return np.bincount(data.ravel(), minlength=256)[:256]
-
-        hist_r = bincount(img_uint8[:, :, 0])
-        hist_g = bincount(img_uint8[:, :, 1])
-        hist_b = bincount(img_uint8[:, :, 2])
-
-        # Average of R, G, B histograms (same as Photoshop's RGB composite)
-        rgb = ((hist_r + hist_g + hist_b) // 3).tolist()
-
-        # ITU-R BT.709-6, Item 3.2 (p.6) — Derivation of luminance signal
-        # https://www.itu.int/rec/R-REC-BT.709-6-201506-I/en
-        lum = 0.2126 * img[:, :, 0] + 0.7152 * img[:, :, 1] + 0.0722 * img[:, :, 2]
-        luminance = bincount(np.clip(lum * 255, 0, 255).astype(np.uint8)).tolist()
-
-        return io.NodeOutput(
-            rgb,
-            luminance,
-            hist_r.tolist(),
-            hist_g.tolist(),
-            hist_b.tolist(),
-        )
-
-
 class CurveExtension(ComfyExtension):
     @override
     async def get_node_list(self):
-        return [CurveEditor, ImageHistogram]
+        return [CurveEditor]
 
 
 async def comfy_entrypoint():