support detecting midas model

fix broken api for checkpoint list

modules/api/models.py

@@ -228,7 +228,7 @@ class SDModelItem(BaseModel):
     hash: Optional[str] = Field(title="Short hash")
     sha256: Optional[str] = Field(title="sha256 hash")
     filename: str = Field(title="Filename")
-    config: str = Field(title="Config file")
+    config: Optional[str] = Field(title="Config file")
 
 class HypernetworkItem(BaseModel):
     name: str = Field(title="Name")

modules/sd_models.py

@@ -439,12 +439,12 @@ def reload_model_weights(sd_model=None, info=None):
         if sd_model.sd_model_checkpoint == checkpoint_info.filename:
             return
 
-    if shared.cmd_opts.lowvram or shared.cmd_opts.medvram:
-        lowvram.send_everything_to_cpu()
-    else:
-        sd_model.to(devices.cpu)
+        if shared.cmd_opts.lowvram or shared.cmd_opts.medvram:
+            lowvram.send_everything_to_cpu()
+        else:
+            sd_model.to(devices.cpu)
 
-    sd_hijack.model_hijack.undo_hijack(sd_model)
+        sd_hijack.model_hijack.undo_hijack(sd_model)
 
     timer = Timer()
 

modules/sd_models_config.py

@@ -10,6 +10,7 @@ sd_repo_configs_path = os.path.join(paths.paths['Stable Diffusion'], "configs",
 config_default = shared.sd_default_config
 config_sd2 = os.path.join(sd_repo_configs_path, "v2-inference.yaml")
 config_sd2v = os.path.join(sd_repo_configs_path, "v2-inference-v.yaml")
+config_depth_model = os.path.join(sd_repo_configs_path, "v2-midas-inference.yaml")
 config_inpainting = os.path.join(sd_configs_path, "v1-inpainting-inference.yaml")
 config_instruct_pix2pix = os.path.join(sd_configs_path, "instruct-pix2pix.yaml")
 config_alt_diffusion = os.path.join(sd_configs_path, "alt-diffusion-inference.yaml")
@@ -22,7 +23,9 @@ def guess_model_config_from_state_dict(sd, filename):
 
     sd2_cond_proj_weight = sd.get('cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight', None)
     diffusion_model_input = sd.get('model.diffusion_model.input_blocks.0.0.weight', None)
-    roberta_weight = sd.get('cond_stage_model.roberta.embeddings.word_embeddings.weight', None)
+
+    if sd.get('depth_model.model.pretrained.act_postprocess3.0.project.0.bias', None) is not None:
+        return config_depth_model
 
     if sd2_cond_proj_weight is not None and sd2_cond_proj_weight.shape[1] == 1024:
         if re.search(re_parametrization_v, fn) or "v2-1_768" in fn:
@@ -36,7 +39,7 @@ def guess_model_config_from_state_dict(sd, filename):
         if diffusion_model_input.shape[1] == 8:
             return config_instruct_pix2pix
 
-    if roberta_weight is not None:
+    if sd.get('cond_stage_model.roberta.embeddings.word_embeddings.weight', None) is not None:
         return config_alt_diffusion
 
     return config_default