rework hypertile into a built-in extension

extensions-builtin/hypertile/hypertile.py

@@ -1,10 +1,13 @@
 """
 Hypertile module for splitting attention layers in SD-1.5 U-Net and SD-1.5 VAE
-Warn : The patch works well only if the input image has a width and height that are multiples of 128
-Author : @tfernd Github : https://github.com/tfernd/HyperTile
+Warn: The patch works well only if the input image has a width and height that are multiples of 128
+Original author: @tfernd Github: https://github.com/tfernd/HyperTile
 """
 
 from __future__ import annotations
+
+import functools
+from dataclasses import dataclass
 from typing import Callable
 from typing_extensions import Literal
 
@@ -18,6 +21,19 @@ import random
 
 from einops import rearrange
 
+
+@dataclass
+class HypertileParams:
+    depth = 0
+    layer_name = ""
+    tile_size: int = 0
+    swap_size: int = 0
+    aspect_ratio: float = 1.0
+    forward = None
+    enabled = False
+
+
+
 # TODO add SD-XL layers
 DEPTH_LAYERS = {
     0: [
@@ -176,6 +192,7 @@ DEPTH_LAYERS_XL = {
 
 RNG_INSTANCE = random.Random()
 
+
 def random_divisor(value: int, min_value: int, /, max_options: int = 1) -> int:
     """
     Returns a random divisor of value that
@@ -193,10 +210,13 @@ def random_divisor(value: int, min_value: int, /, max_options: int = 1) -> int:
 
     return ns[idx]
 
+
 def set_hypertile_seed(seed: int) -> None:
     RNG_INSTANCE.seed(seed)
 
-def largest_tile_size_available(width:int, height:int) -> int:
+
+@functools.cache
+def largest_tile_size_available(width: int, height: int) -> int:
     """
     Calculates the largest tile size available for a given width and height
     Tile size is always a power of 2
@@ -207,6 +227,7 @@ def largest_tile_size_available(width:int, height:int) -> int:
         largest_tile_size_available *= 2
     return largest_tile_size_available
 
+
 def iterative_closest_divisors(hw:int, aspect_ratio:float) -> tuple[int, int]:
     """
     Finds h and w such that h*w = hw and h/w = aspect_ratio
@@ -219,6 +240,7 @@ def iterative_closest_divisors(hw:int, aspect_ratio:float) -> tuple[int, int]:
     closest_pair = pairs[ratios.index(closest_ratio)] # closest pair of divisors to aspect_ratio
     return closest_pair
 
+
 @cache
 def find_hw_candidates(hw:int, aspect_ratio:float) -> tuple[int, int]:
     """
@@ -240,132 +262,87 @@ def find_hw_candidates(hw:int, aspect_ratio:float) -> tuple[int, int]:
             w = int(w_candidate)
     return h, w
 
-@contextmanager
-def split_attention(
-    layer: nn.Module,
-    /,
-    aspect_ratio: float,  # width/height
-    tile_size: int = 128,  # 128 for VAE
-    swap_size: int = 1,  # 1 for VAE
-    *,
-    disable: bool = False,
-    max_depth: Literal[0, 1, 2, 3] = 0,  # ! Try 0 or 1
-    scale_depth: bool = True,  # scale the tile-size depending on the depth
-    is_sdxl: bool = False,  # is the model SD-XL
-):
-    # Hijacks AttnBlock from ldm and Attention from diffusers
 
-    if disable:
-        logging.info(f"Attention for {layer.__class__.__qualname__} not splitted")
-        yield
-        return
+def self_attn_forward(params: HypertileParams, scale_depth=True) -> Callable:
 
-    latent_tile_size = max(128, tile_size) // 8
+    @wraps(params.forward)
+    def wrapper(*args, **kwargs):
+        if not params.enabled:
+            return params.forward(*args, **kwargs)
 
-    def self_attn_forward(forward: Callable, depth: int, layer_name: str, module: nn.Module) -> Callable:
-        @wraps(forward)
-        def wrapper(*args, **kwargs):
-            x = args[0]
+        latent_tile_size = max(128, params.tile_size) // 8
+        x = args[0]
 
-            # VAE
-            if x.ndim == 4:
-                b, c, h, w = x.shape
+        # VAE
+        if x.ndim == 4:
+            b, c, h, w = x.shape
 
-                nh = random_divisor(h, latent_tile_size, swap_size)
-                nw = random_divisor(w, latent_tile_size, swap_size)
+            nh = random_divisor(h, latent_tile_size, params.swap_size)
+            nw = random_divisor(w, latent_tile_size, params.swap_size)
 
-                if nh * nw > 1:
-                    x = rearrange(x, "b c (nh h) (nw w) -> (b nh nw) c h w", nh=nh, nw=nw) # split into nh * nw tiles
+            if nh * nw > 1:
+                x = rearrange(x, "b c (nh h) (nw w) -> (b nh nw) c h w", nh=nh, nw=nw)  # split into nh * nw tiles
 
-                out = forward(x, *args[1:], **kwargs)
+            out = params.forward(x, *args[1:], **kwargs)
 
-                if nh * nw > 1:
-                    out = rearrange(out, "(b nh nw) c h w -> b c (nh h) (nw w)", nh=nh, nw=nw)
+            if nh * nw > 1:
+                out = rearrange(out, "(b nh nw) c h w -> b c (nh h) (nw w)", nh=nh, nw=nw)
 
-            # U-Net
-            else:
-                hw: int = x.size(1)
-                h, w = find_hw_candidates(hw, aspect_ratio)
-                assert h * w == hw, f"Invalid aspect ratio {aspect_ratio} for input of shape {x.shape}, hw={hw}, h={h}, w={w}"
-
-                factor = 2**depth if scale_depth else 1
-                nh = random_divisor(h, latent_tile_size * factor, swap_size)
-                nw = random_divisor(w, latent_tile_size * factor, swap_size)
-
-                module._split_sizes_hypertile.append((nh, nw))  # type: ignore
-
-                if nh * nw > 1:
-                    x = rearrange(x, "b (nh h nw w) c -> (b nh nw) (h w) c", h=h // nh, w=w // nw, nh=nh, nw=nw)
-
-                out = forward(x, *args[1:], **kwargs)
-
-                if nh * nw > 1:
-                    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
-
-        return wrapper
-
-    # Handle hijacking the forward method and recovering afterwards
-    try:
-        if is_sdxl:
-            layers = DEPTH_LAYERS_XL
+        # U-Net
         else:
-            layers = DEPTH_LAYERS
-        for depth in range(max_depth + 1):
-            for layer_name, module in layer.named_modules():
+            hw: int = x.size(1)
+            h, w = find_hw_candidates(hw, params.aspect_ratio)
+            assert h * w == hw, f"Invalid aspect ratio {params.aspect_ratio} for input of shape {x.shape}, hw={hw}, h={h}, w={w}"
+
+            factor = 2 ** params.depth if scale_depth else 1
+            nh = random_divisor(h, latent_tile_size * factor, params.swap_size)
+            nw = random_divisor(w, latent_tile_size * factor, params.swap_size)
+
+            if nh * nw > 1:
+                x = rearrange(x, "b (nh h nw w) c -> (b nh nw) (h w) c", h=h // nh, w=w // nw, nh=nh, nw=nw)
+
+            out = params.forward(x, *args[1:], **kwargs)
+
+            if nh * nw > 1:
+                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
+
+    return wrapper
+
+
+def hypertile_hook_model(model: nn.Module, width, height, *, enable=False, tile_size_max=128, swap_size=1, max_depth=3, is_sdxl=False):
+    hypertile_layers = getattr(model, "__webui_hypertile_layers", None)
+    if hypertile_layers is None:
+        if not enable:
+            return
+
+        hypertile_layers = {}
+        layers = DEPTH_LAYERS_XL if is_sdxl else DEPTH_LAYERS
+
+        for depth in range(4):
+            for layer_name, module in model.named_modules():
                 if any(layer_name.endswith(try_name) for try_name in layers[depth]):
-                    # print input shape for debugging
-                    logging.debug(f"HyperTile hijacking attention layer at depth {depth}: {layer_name}")
-                    # hijack
-                    module._original_forward_hypertile = module.forward
-                    module.forward = self_attn_forward(module.forward, depth, layer_name, module)
-                    module._split_sizes_hypertile = []
-        yield
-    finally:
-        for layer_name, module in layer.named_modules():
-            # remove hijack
-            if hasattr(module, "_original_forward_hypertile"):
-                if module._split_sizes_hypertile:
-                    logging.debug(f"layer {layer_name} splitted with ({module._split_sizes_hypertile})")
-                # recover
-                module.forward = module._original_forward_hypertile
-                del module._original_forward_hypertile
-                del module._split_sizes_hypertile
+                    params = HypertileParams()
+                    module.__webui_hypertile_params = params
+                    params.forward = module.forward
+                    params.depth = depth
+                    params.layer_name = layer_name
+                    module.forward = self_attn_forward(params)
 
-def hypertile_context_vae(model:nn.Module, aspect_ratio:float, tile_size:int, opts):
-    """
-    Returns context manager for VAE
-    """
-    enabled = opts.hypertile_split_vae_attn
-    swap_size = opts.hypertile_swap_size_vae
-    max_depth = opts.hypertile_max_depth_vae
-    tile_size_max = opts.hypertile_max_tile_vae
-    return split_attention(
-        model,
-        aspect_ratio=aspect_ratio,
-        tile_size=min(tile_size, tile_size_max),
-        swap_size=swap_size,
-        disable=not enabled,
-        max_depth=max_depth,
-        is_sdxl=False,
-    )
+                    hypertile_layers[layer_name] = 1
 
-def hypertile_context_unet(model:nn.Module, aspect_ratio:float, tile_size:int, opts, is_sdxl:bool):
-    """
-    Returns context manager for U-Net
-    """
-    enabled = opts.hypertile_split_unet_attn
-    swap_size = opts.hypertile_swap_size_unet
-    max_depth = opts.hypertile_max_depth_unet
-    tile_size_max = opts.hypertile_max_tile_unet
-    return split_attention(
-        model,
-        aspect_ratio=aspect_ratio,
-        tile_size=min(tile_size, tile_size_max),
-        swap_size=swap_size,
-        disable=not enabled,
-        max_depth=max_depth,
-        is_sdxl=is_sdxl,
-    )
+        model.__webui_hypertile_layers = hypertile_layers
+
+    aspect_ratio = width / height
+    tile_size = min(largest_tile_size_available(width, height), tile_size_max)
+
+    for layer_name, module in model.named_modules():
+        if layer_name in hypertile_layers:
+            params = module.__webui_hypertile_params
+
+            params.tile_size = tile_size
+            params.swap_size = swap_size
+            params.aspect_ratio = aspect_ratio
+            params.enabled = enable and params.depth <= max_depth