Merge branch 'develop'

args_manager.py

@@ -34,8 +34,8 @@ args_parser.parser.add_argument("--enable-auto-describe-image", action='store_tr
 args_parser.parser.add_argument("--always-download-new-model", action='store_true',
                                 help="Always download newer models", default=False)
 
-args_parser.parser.add_argument("--rebuild-hash-cache", action='store_true',
-                                help="Generates missing model and LoRA hashes.", default=False)
+args_parser.parser.add_argument("--rebuild-hash-cache", help="Generates missing model and LoRA hashes.",
+                                type=int, nargs="?", metavar="CPU_NUM_THREADS", const=-1)
 
 args_parser.parser.set_defaults(
     disable_cuda_malloc=True,

extras/GroundingDINO/util/inference.py

@@ -19,6 +19,8 @@ class GroundingDinoModel(Model):
         self.load_device = torch.device('cpu')
         self.offload_device = torch.device('cpu')
 
+    @torch.no_grad()
+    @torch.inference_mode()
     def predict_with_caption(
             self,
             image: np.ndarray,

fooocus_version.py

@@ -1 +1 @@
-version = '2.6.0-rc1 (mashb1t)'
+version = '2.6.0-rc2 (mashb1t)'

modules/config.py

@@ -7,7 +7,7 @@ import args_manager
 import tempfile
 import modules.flags
 import modules.sdxl_styles
-from modules.hash_cache import load_cache_from_file, save_cache_to_file
+from modules.hash_cache import init_cache
 
 from modules.model_loader import load_file_from_url
 from modules.extra_utils import makedirs_with_log, get_files_from_folder, try_eval_env_var
@@ -892,20 +892,4 @@ def downloading_sam_vit_h():
 
 
 update_files()
-load_cache_from_file()
-
-if args_manager.args.rebuild_hash_cache:
-    from modules.hash_cache import sha256_from_cache
-    from modules.util import get_file_from_folder_list
-
-    print('[Cache] Rebuilding hash cache')
-    for filename in model_filenames:
-        filepath = get_file_from_folder_list(filename, paths_checkpoints)
-        sha256_from_cache(filepath)
-    for filename in lora_filenames:
-        filepath = get_file_from_folder_list(filename, paths_loras)
-        sha256_from_cache(filepath)
-    print('[Cache] Done')
-
-# write cache to file again for sorting and cleanup of invalid cache entries
-save_cache_to_file()
+init_cache(model_filenames, paths_checkpoints, lora_filenames, paths_loras)

modules/hash_cache.py

@@ -1,6 +1,10 @@
 import json
 import os
+from concurrent.futures import ThreadPoolExecutor
+from multiprocessing import cpu_count
 
+import args_manager
+from modules.util import get_file_from_folder_list
 from modules.util import sha256, HASH_SHA256_LENGTH
 
 hash_cache_filename = 'hash_cache.txt'
@@ -10,7 +14,9 @@ hash_cache = {}
 def sha256_from_cache(filepath):
     global hash_cache
     if filepath not in hash_cache:
+        print(f"[Cache] Calculating sha256 for {filepath}")
         hash_value = sha256(filepath)
+        print(f"[Cache] sha256 for {filepath}: {hash_value}")
         hash_cache[filepath] = hash_value
         save_cache_to_file(filepath, hash_value)
 
@@ -51,3 +57,28 @@ def save_cache_to_file(filename=None, hash_value=None):
                 fp.write('\n')
     except Exception as e:
         print(f'[Cache] Saving failed: {e}')
+
+
+def init_cache(model_filenames, paths_checkpoints, lora_filenames, paths_loras):
+    load_cache_from_file()
+
+    if args_manager.args.rebuild_hash_cache:
+        max_workers = args_manager.args.rebuild_hash_cache if args_manager.args.rebuild_hash_cache > 0 else cpu_count()
+        rebuild_cache(lora_filenames, model_filenames, paths_checkpoints, paths_loras, max_workers)
+
+    # write cache to file again for sorting and cleanup of invalid cache entries
+    save_cache_to_file()
+
+
+def rebuild_cache(lora_filenames, model_filenames, paths_checkpoints, paths_loras, max_workers=cpu_count()):
+    def thread(filename, paths):
+        filepath = get_file_from_folder_list(filename, paths)
+        sha256_from_cache(filepath)
+
+    print('[Cache] Rebuilding hash cache')
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+        for model_filename in model_filenames:
+            executor.submit(thread, model_filename, paths_checkpoints)
+        for lora_filename in lora_filenames:
+            executor.submit(thread, lora_filename, paths_loras)
+    print('[Cache] Done')

modules/util.py

@@ -176,13 +176,11 @@ def generate_temp_filename(folder='./outputs/', extension='png'):
 
 
 def sha256(filename, use_addnet_hash=False, length=HASH_SHA256_LENGTH):
-    print(f"Calculating sha256 for {filename}: ", end='')
     if use_addnet_hash:
         with open(filename, "rb") as file:
             sha256_value = addnet_hash_safetensors(file)
     else:
         sha256_value = calculate_sha256(filename)
-    print(f"{sha256_value}")
 
     return sha256_value[:length] if length is not None else sha256_value
 

update_log.md

@@ -1,3 +1,9 @@
+# [2.6.0-rc2](https://github.com/mashb1t/Fooocus/releases/tag/v2.6.0-rc2)
+
+* Add hash generation multi-threading support, change `--rebuild-hash-cache` from bool to int (number of CPU cores)
+* Fix inference tensor version counter tracking issue for GroundingDINO after using Enhance (see [discussion](https://github.com/lllyasviel/Fooocus/discussions/3213))
+
+
 # [2.6.0-rc1](https://github.com/mashb1t/Fooocus/releases/tag/v2.6.0-rc1)
 
 * Update default models to latest versions