first

launch.py

@@ -238,12 +238,14 @@ def prepare_environment():
     k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://github.com/crowsonkb/k-diffusion.git')
     codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
     blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
+    tomesd_repo = os.environ.get('TOMESD_REPO', 'https://github.com/dbolya/tomesd.git')
 
     stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf")
     taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
     k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "5b3af030dd83e0297272d861c19477735d0317ec")
     codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
     blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
+    tomesd_commit_hash = os.environ.get('TOMESD_COMMIT_HASH', "4f936c257e10848e0399fc6d0484a1761812092a")
 
     if not args.skip_python_version_check:
         check_python_version()
@@ -280,6 +282,10 @@ def prepare_environment():
         elif platform.system() == "Linux":
             run_pip(f"install {xformers_package}", "xformers")
 
+    if (not is_installed("tomesd") or args.reinstall_tomesd) and args.token_merging:
+        git_clone(tomesd_repo, repo_dir('tomesd'), "tomesd", tomesd_commit_hash)
+        run_pip(f"install {repo_dir('tomesd')}")
+
     if not is_installed("pyngrok") and args.ngrok:
         run_pip("install pyngrok", "ngrok")
 

modules/cmd_args.py

@@ -101,3 +101,7 @@ parser.add_argument("--no-gradio-queue", action='store_true', help="Disables gra
 parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers")
 parser.add_argument("--no-hashing", action='store_true', help="disable sha256 hashing of checkpoints to help loading performance", default=False)
 parser.add_argument("--no-download-sd-model", action='store_true', help="don't download SD1.5 model even if no model is found in --ckpt-dir", default=False)
+
+# token merging / tomesd
+parser.add_argument("--token-merging", action='store_true', help="Provides generation speedup by merging redundant tokens. (compatible with --xformers)", default=False)
+parser.add_argument("--token-merging-ratio", type=float, help="Adjusts ratio of merged to untouched tokens. Range: (0.0-1.0], Defaults to 0.5", default=0.5)

modules/sd_models.py

@@ -9,6 +9,7 @@ from omegaconf import OmegaConf
 from os import mkdir
 from urllib import request
 import ldm.modules.midas as midas
+import tomesd
 
 from ldm.util import instantiate_from_config
 
@@ -430,6 +431,13 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
     try:
         with sd_disable_initialization.DisableInitialization(disable_clip=clip_is_included_into_sd):
             sd_model = instantiate_from_config(sd_config.model)
+
+            if shared.cmd_opts.token_merging:
+                ratio = shared.cmd_opts.token_merging_ratio
+
+                tomesd.apply_patch(sd_model, ratio=ratio)
+                print(f"Model accelerated using {(ratio * 100)}% token merging via tomesd.")
+                timer.record("token merging")
     except Exception as e:
         pass