Merge pull request #5589 from MrCheeze/better-special-model-support

Better support for 2.0-inpainting and 2.0-depth special models

modules/lowvram.py

@@ -55,18 +55,20 @@ def setup_for_low_vram(sd_model, use_medvram):
     if hasattr(sd_model.cond_stage_model, 'model'):
         sd_model.cond_stage_model.transformer = sd_model.cond_stage_model.model
 
-    # remove three big modules, cond, first_stage, and unet from the model and then
+    # remove four big modules, cond, first_stage, depth (if applicable), and unet from the model and then
     # send the model to GPU. Then put modules back. the modules will be in CPU.
-    stored = sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model
-    sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model = None, None, None
+    stored = sd_model.cond_stage_model.transformer, sd_model.first_stage_model, getattr(sd_model, 'depth_model', None), sd_model.model
+    sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.depth_model, sd_model.model = None, None, None, None
     sd_model.to(devices.device)
-    sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model = stored
+    sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.depth_model, sd_model.model = stored
 
-    # register hooks for those the first two models
+    # register hooks for those the first three models
     sd_model.cond_stage_model.transformer.register_forward_pre_hook(send_me_to_gpu)
     sd_model.first_stage_model.register_forward_pre_hook(send_me_to_gpu)
     sd_model.first_stage_model.encode = first_stage_model_encode_wrap
     sd_model.first_stage_model.decode = first_stage_model_decode_wrap
+    if sd_model.depth_model:
+        sd_model.depth_model.register_forward_pre_hook(send_me_to_gpu)
     parents[sd_model.cond_stage_model.transformer] = sd_model.cond_stage_model
 
     if hasattr(sd_model.cond_stage_model, 'model'):

modules/sd_hijack_inpainting.py

@@ -324,12 +324,11 @@ def should_hijack_inpainting(checkpoint_info):
 
 def do_inpainting_hijack():
     # most of this stuff seems to no longer be needed because it is already included into SD2.0
-    # LatentInpaintDiffusion remains because SD2.0's LatentInpaintDiffusion can't be loaded without specifying a checkpoint
     # p_sample_plms is needed because PLMS can't work with dicts as conditionings
     # this file should be cleaned up later if weverything tuens out to work fine
 
     # ldm.models.diffusion.ddpm.get_unconditional_conditioning = get_unconditional_conditioning
-    ldm.models.diffusion.ddpm.LatentInpaintDiffusion = LatentInpaintDiffusion
+    # ldm.models.diffusion.ddpm.LatentInpaintDiffusion = LatentInpaintDiffusion
 
     # ldm.models.diffusion.ddim.DDIMSampler.p_sample_ddim = p_sample_ddim
     # ldm.models.diffusion.ddim.DDIMSampler.sample = sample_ddim

modules/sd_models.py

@@ -293,13 +293,16 @@ def load_model(checkpoint_info=None):
     if should_hijack_inpainting(checkpoint_info):
         # Hardcoded config for now...
         sd_config.model.target = "ldm.models.diffusion.ddpm.LatentInpaintDiffusion"
-        sd_config.model.params.use_ema = False
         sd_config.model.params.conditioning_key = "hybrid"
         sd_config.model.params.unet_config.params.in_channels = 9
+        sd_config.model.params.finetune_keys = None
 
         # Create a "fake" config with a different name so that we know to unload it when switching models.
         checkpoint_info = checkpoint_info._replace(config=checkpoint_info.config.replace(".yaml", "-inpainting.yaml"))
 
+    if not hasattr(sd_config.model.params, "use_ema"):
+        sd_config.model.params.use_ema = False
+
     do_inpainting_hijack()
 
     if shared.cmd_opts.no_half: