Merge branch 'dev' into awsr-patch-1

html/reference.json

@@ -698,7 +698,7 @@
   "HiDream-E1.1": {
     "path": "HiDream-ai/HiDream-E1-1",
     "desc": "HiDream-E1 is an image editing model built on HiDream-I1.",
-    "preview": "HiDream-ai--HiDream-E1-Full.jpg",
+    "preview": "HiDream-ai--HiDream-E1-1.jpg",
     "skip": true,
     "extras": "sampler: Default"
   },

modules/sdnq/dequantizer.py

@@ -91,7 +91,7 @@ def re_quantize_int8(weight: torch.FloatTensor) -> Tuple[torch.CharTensor, torch
 def re_quantize_fp8(weight: torch.FloatTensor, is_e5: bool = False) -> Tuple[torch.CharTensor, torch.FloatTensor]:
     if weight.ndim > 2: # convs
         weight = weight.flatten(1,-1)
-    weight, scale = quantize_int8(weight.contiguous(), dim=-1, is_e5=is_e5)
+    weight, scale = quantize_fp8(weight.contiguous(), dim=-1, is_e5=is_e5)
     weight, scale = weight.t_(), scale.t_()
     if not use_tensorwise_fp8_matmul:
         scale = scale.to(dtype=torch.float32)