add fp16_fix

backend/nn/flux.py

@@ -9,6 +9,7 @@ import torch
 from torch import nn
 from einops import rearrange, repeat
 from backend.attention import attention_function
+from backend.utils import fp16_fix
 
 
 def attention(q, k, v, pe):
@@ -242,6 +243,8 @@ class DoubleStreamBlock(nn.Module):
         txt = txt + txt_mod2_gate * self.txt_mlp((1 + txt_mod2_scale) * self.txt_norm2(txt) + txt_mod2_shift)
         del txt_mod2_gate, txt_mod2_scale, txt_mod2_shift
 
+        txt = fp16_fix(txt)
+
         return img, txt
 
 
@@ -279,7 +282,13 @@ class SingleStreamBlock(nn.Module):
         del q, k, v, pe
         output = self.linear2(torch.cat((attn, self.mlp_act(mlp)), dim=2))
         del attn, mlp
-        return x + mod_gate * output
+
+        x = x + mod_gate * output
+        del mod_gate, output
+
+        x = fp16_fix(x)
+
+        return x
 
 
 class LastLayer(nn.Module):

backend/utils.py

@@ -75,3 +75,13 @@ def calculate_parameters(sd, prefix=""):
         if k.startswith(prefix):
             params += sd[k].nelement()
     return params
+
+
+def fp16_fix(x):
+    # An interesting trick to avoid fp16 overflow
+    # Source: https://github.com/lllyasviel/stable-diffusion-webui-forge/issues/1114
+    # Related: https://github.com/comfyanonymous/ComfyUI/blob/f1d6cef71c70719cc3ed45a2455a4e5ac910cd5e/comfy/ldm/flux/layers.py#L180
+
+    if x.dtype == torch.float16:
+        return x.clip(-16384.0, 16384.0)
+    return x

modules/launch_utils.py

@@ -401,7 +401,7 @@ def prepare_environment():
     # stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf")
     # stable_diffusion_xl_commit_hash = os.environ.get('STABLE_DIFFUSION_XL_COMMIT_HASH', "45c443b316737a4ab6e40413d7794a7f5657c19f")
     # k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "ab527a9a6d347f364e3d185ba6d714e22d80cb3c")
-    huggingface_guess_commit_hash = os.environ.get('HUGGINGFACE_GUESS_HASH', "3f96b28763515dbe609792135df3615a440c66dc")
+    huggingface_guess_commit_hash = os.environ.get('HUGGINGFACE_GUESS_HASH', "84826248b49bb7ca754c73293299c4d4e23a548d")
     blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
 
     try: