Merge pull request #81 from Haidra-Org/main

feat: use torch 2.1 + CU121

hordelib/comfy_horde.py

@@ -138,14 +138,19 @@ def do_comfy_import():
 
         import comfy.model_management
 
-        comfy.model_management.vram_state = comfy.model_management.VRAMState.LOW_VRAM
-        comfy.model_management.set_vram_to = comfy.model_management.VRAMState.LOW_VRAM
+        # comfy.model_management.vram_state = comfy.model_management.VRAMState.HIGH_VRAM
+        # comfy.model_management.set_vram_to = comfy.model_management.VRAMState.HIGH_VRAM
 
-        def always_cpu(parameters, dtype):
-            return torch.device("cpu")
+        logger.info("Comfy_Horde initialised")
 
-        comfy.model_management.unet_inital_load_device = always_cpu
+        # def always_cpu(parameters, dtype):
+        # return torch.device("cpu")
+
+        # comfy.model_management.unet_inital_load_device = always_cpu
         comfy.model_management.DISABLE_SMART_MEMORY = True
+        # comfy.model_management.lowvram_available = True
+
+        # comfy.model_management.unet_offload_device = _unet_offload_device_hijack
 
         total_vram = get_torch_total_vram_mb()
         total_ram = psutil.virtual_memory().total / (1024 * 1024)
@@ -162,27 +167,33 @@ def always_cpu(parameters, dtype):
 
 
 def cleanup():
-    logger.debug(f"{len(_comfy_current_loaded_models)} models loaded in comfy")
-
     _comfy_soft_empty_cache()
-    logger.debug(f"{len(_comfy_current_loaded_models)} models loaded in comfy")
 
 
 def unload_all_models_vram():
     from hordelib.shared_model_manager import SharedModelManager
 
+    logger.debug("In unload_all_models_vram")
+
     logger.debug(f"{len(_comfy_current_loaded_models)} models loaded in comfy")
     # _comfy_free_memory(_comfy_get_total_memory(), _comfy_get_torch_device())
     with torch.no_grad():
-        for model in _comfy_current_loaded_models:
-            model.model_unload()
-        _comfy_soft_empty_cache()
+        try:
+            for model in _comfy_current_loaded_models:
+                model.model_unload()
+            _comfy_soft_empty_cache()
+        except Exception as e:
+            logger.error(f"Exception during comfy unload: {e}")
+            _comfy_cleanup_models()
+            _comfy_soft_empty_cache()
     logger.debug(f"{len(_comfy_current_loaded_models)} models loaded in comfy")
 
 
 def unload_all_models_ram():
     from hordelib.shared_model_manager import SharedModelManager
 
+    logger.debug("In unload_all_models_ram")
+
     SharedModelManager.manager._models_in_ram = {}
     logger.debug(f"{len(_comfy_current_loaded_models)} models loaded in comfy")
     with torch.no_grad():

hordelib/consts.py

@@ -6,7 +6,7 @@
 
 from hordelib.config_path import get_hordelib_path
 
-COMFYUI_VERSION = "099226015edcdf595d915f0f39359ef0d83fbba6"
+COMFYUI_VERSION = "0e763e880f5e838e7a1e3914444cae6790c48627"
 """The exact version of ComfyUI version to load."""
 
 REMOTE_PROXY = ""
@@ -22,11 +22,6 @@ class HordeSupportedBackends(Enum):
     ComfyUI = auto()
 
 
-# Models Excluded from hordelib (for now) # FIXME
-# this could easily be a json file on the AI-Horde-image-model-reference repo
-EXCLUDED_MODEL_NAMES = ["pix2pix"]
-
-
 class MODEL_CATEGORY_NAMES(StrEnum):
     """Look up str enum for the categories of models (compvis, controlnet, clip, etc...)."""
 

hordelib/nodes/node_model_loader.py

@@ -59,6 +59,8 @@ def load_checkpoint(
                 same_loaded_model[0][0].model.apply(make_regular)
                 make_regular_vae(same_loaded_model[0][2])
 
+            logger.debug("Model was previously loaded, returning it.")
+
             return same_loaded_model[0]
 
         if not ckpt_name:

requirements.txt

@@ -1,18 +1,18 @@
 # Add this in for tox, comment out for build
---extra-index-url https://download.pytorch.org/whl/cu118
+--extra-index-url https://download.pytorch.org/whl/cu121
 horde_sdk>=0.7.10
 horde_model_reference>=0.5.2
 pydantic
-torch>=2.0.0
-xformers>=0.0.19
+torch>=2.1.0
+# xformers>=0.0.19
 torchvision
 torchaudio
 torchdiffeq
 torchsde
 einops
 open-clip-torch
 transformers>=4.25.1
-safetensors
+safetensors>=0.3.0
 pytorch_lightning
 pynvml
 aiohttp