Fix issues with #4302 and support loading diffusers format flux.

comfy/model_detection.py

@@ -495,7 +495,12 @@ def model_config_from_diffusers_unet(state_dict):
 def convert_diffusers_mmdit(state_dict, output_prefix=""):
     out_sd = {}
 
-    if 'transformer_blocks.0.attn.add_q_proj.weight' in state_dict: #SD3
+    if 'transformer_blocks.0.attn.norm_added_k.weight' in state_dict: #Flux
+        depth = count_blocks(state_dict, 'transformer_blocks.{}.')
+        depth_single_blocks = count_blocks(state_dict, 'single_transformer_blocks.{}.')
+        hidden_size = state_dict["x_embedder.bias"].shape[0]
+        sd_map = comfy.utils.flux_to_diffusers({"depth": depth, "depth_single_blocks": depth_single_blocks, "hidden_size": hidden_size}, output_prefix=output_prefix)
+    elif 'transformer_blocks.0.attn.add_q_proj.weight' in state_dict: #SD3
         num_blocks = count_blocks(state_dict, 'transformer_blocks.{}.')
         depth = state_dict["pos_embed.proj.weight"].shape[0] // 64
         sd_map = comfy.utils.mmdit_to_diffusers({"depth": depth, "num_blocks": num_blocks}, output_prefix=output_prefix)
@@ -521,7 +526,12 @@ def convert_diffusers_mmdit(state_dict, output_prefix=""):
                     old_weight = out_sd.get(t[0], None)
                     if old_weight is None:
                         old_weight = torch.empty_like(weight)
-                        old_weight = old_weight.repeat([3] + [1] * (len(old_weight.shape) - 1))
+                    if old_weight.shape[offset[0]] < offset[1] + offset[2]:
+                        exp = list(weight.shape)
+                        exp[offset[0]] = offset[1] + offset[2]
+                        new = torch.empty(exp, device=weight.device, dtype=weight.dtype)
+                        new[:old_weight.shape[0]] = old_weight
+                        old_weight = new
 
                     w = old_weight.narrow(offset[0], offset[1], offset[2])
                 else:

comfy/utils.py

@@ -474,6 +474,10 @@ def flux_to_diffusers(mmdit_config, output_prefix=""):
                         "ff_context.net.0.proj.bias": "txt_mlp.0.bias",
                         "ff_context.net.2.weight": "txt_mlp.2.weight",
                         "ff_context.net.2.bias": "txt_mlp.2.bias",
+                        "attn.norm_q.weight": "img_attn.norm.query_norm.scale",
+                        "attn.norm_k.weight": "img_attn.norm.key_norm.scale",
+                        "attn.norm_added_q.weight": "txt_attn.norm.query_norm.scale",
+                        "attn.norm_added_k.weight": "txt_attn.norm.key_norm.scale",
                     }
 
         for k in block_map:
@@ -496,6 +500,8 @@ def flux_to_diffusers(mmdit_config, output_prefix=""):
                         "norm.linear.bias": "modulation.lin.bias",
                         "proj_out.weight": "linear2.weight",
                         "proj_out.bias": "linear2.bias",
+                        "attn.norm_q.weight": "norm.query_norm.scale",
+                        "attn.norm_k.weight": "norm.key_norm.scale",
                     }
 
         for k in block_map:
@@ -514,18 +520,14 @@ def flux_to_diffusers(mmdit_config, output_prefix=""):
         ("txt_in.weight", "context_embedder.weight"),
         ("vector_in.in_layer.bias", "time_text_embed.text_embedder.linear_1.bias"),
         ("vector_in.in_layer.weight", "time_text_embed.text_embedder.linear_1.weight"),
-        ("vector_in.out_layer.bias", "time_text_embed.timestep_embedder.linear_2.bias"),
+        ("vector_in.out_layer.bias", "time_text_embed.text_embedder.linear_2.bias"),
         ("vector_in.out_layer.weight", "time_text_embed.text_embedder.linear_2.weight"),
         ("guidance_in.in_layer.bias", "time_text_embed.guidance_embedder.linear_1.bias"),
         ("guidance_in.in_layer.weight", "time_text_embed.guidance_embedder.linear_1.weight"),
-        ("guidance_in.out_layer.bias", "time_text_embed.guidance_embedder.linear_1.bias"),
+        ("guidance_in.out_layer.bias", "time_text_embed.guidance_embedder.linear_2.bias"),
         ("guidance_in.out_layer.weight", "time_text_embed.guidance_embedder.linear_2.weight"),
         ("final_layer.adaLN_modulation.1.bias", "norm_out.linear.bias", swap_scale_shift),
         ("final_layer.adaLN_modulation.1.weight", "norm_out.linear.weight", swap_scale_shift),
-
-        # TODO: the values of these weights are different in Diffusers
-        ("guidance_in.out_layer.bias", "time_text_embed.guidance_embedder.linear_2.bias"),
-        ("vector_in.out_layer.bias", "time_text_embed.text_embedder.linear_2.bias"),
     }
 
     for k in MAP_BASIC: