HyperTile node, can be found in: _for_testing->HyperTile

comfy_extras/nodes_hypertile.py

+#Taken from: https://github.com/tfernd/HyperTile/
+
+import math
+from einops import rearrange
+import random
+
+def random_divisor(value: int, min_value: int, /, max_options: int = 1, counter = 0) -> int:
+    min_value = min(min_value, value)
+
+    # All big divisors of value (inclusive)
+    divisors = [i for i in range(min_value, value + 1) if value % i == 0]
+
+    ns = [value // i for i in divisors[:max_options]]  # has at least 1 element
+
+    random.seed(counter)
+    idx = random.randint(0, len(ns) - 1)
+
+    return ns[idx]
+
+class HyperTile:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                             "tile_size": ("INT", {"default": 256, "min": 1, "max": 2048}),
+                             "swap_size": ("INT", {"default": 2, "min": 1, "max": 128}),
+                             "max_depth": ("INT", {"default": 0, "min": 0, "max": 10}),
+                             "scale_depth": ("BOOLEAN", {"default": False}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing"
+
+    def patch(self, model, tile_size, swap_size, max_depth, scale_depth):
+        model_channels = model.model.model_config.unet_config["model_channels"]
+
+        apply_to = set()
+        temp = model_channels
+        for x in range(max_depth + 1):
+            apply_to.add(temp)
+            temp *= 2
+
+        latent_tile_size = max(32, tile_size) // 8
+        self.temp = None
+        self.counter = 1
+
+        def hypertile_in(q, k, v, extra_options):
+            if q.shape[-1] in apply_to:
+                shape = extra_options["original_shape"]
+                aspect_ratio = shape[-1] / shape[-2]
+
+                hw = q.size(1)
+                h, w = round(math.sqrt(hw * aspect_ratio)), round(math.sqrt(hw / aspect_ratio))
+
+                factor = 2**((q.shape[-1] // model_channels) - 1) if scale_depth else 1
+                nh = random_divisor(h, latent_tile_size * factor, swap_size, self.counter)
+                self.counter += 1
+                nw = random_divisor(w, latent_tile_size * factor, swap_size, self.counter)
+                self.counter += 1
+
+                if nh * nw > 1:
+                    q = rearrange(q, "b (nh h nw w) c -> (b nh nw) (h w) c", h=h // nh, w=w // nw, nh=nh, nw=nw)
+                    self.temp = (nh, nw, h, w)
+                return q, k, v
+
+            return q, k, v
+        def hypertile_out(out, extra_options):
+            if self.temp is not None:
+                nh, nw, h, w = self.temp
+                self.temp = None
+                out = rearrange(out, "(b nh nw) hw c -> b nh nw hw c", nh=nh, nw=nw)
+                out = rearrange(out, "b nh nw (h w) c -> b (nh h nw w) c", h=h // nh, w=w // nw)
+            return out
+
+
+        m = model.clone()
+        m.set_model_attn1_patch(hypertile_in)
+        m.set_model_attn1_output_patch(hypertile_out)
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "HyperTile": HyperTile,
+}

nodes.py

@@ -1796,7 +1796,8 @@ def init_custom_nodes():
         "nodes_clip_sdxl.py",
         "nodes_canny.py",
         "nodes_freelunch.py",
-        "nodes_custom_sampler.py"
+        "nodes_custom_sampler.py",
+        "nodes_hypertile.py",
     ]
 
     for node_file in extras_files: