clone k-diffusion instead of installing it via pip, and do not install its requirements.txt

launch.py

@@ -15,11 +15,11 @@ torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==1.12.1+cu113
 requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
 commandline_args = os.environ.get('COMMANDLINE_ARGS', "")
 
-k_diffusion_package = os.environ.get('K_DIFFUSION_PACKAGE', "git+https://github.com/crowsonkb/k-diffusion.git@9e3002b7cd64df7870e08527b7664eb2f2f5f3f5")
 gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")
 
 stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc")
 taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
+k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "9e3002b7cd64df7870e08527b7664eb2f2f5f3f5")
 codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
 blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
 ldsr_commit_hash = os.environ.get('LDSR_COMMIT_HASH', "abf33e7002d59d9085081bce93ec798dcabd49af")
@@ -110,16 +110,6 @@ if not is_installed("torch") or not is_installed("torchvision"):
 if not skip_torch_cuda_test:
     run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")
 
-if not is_installed("k_diffusion.sampling"):
-    run_pip(f"install {k_diffusion_package}", "k-diffusion")
-
-if not check_run_python("import k_diffusion; import inspect; assert 'eta' in inspect.signature(k_diffusion.sampling.sample_euler_ancestral).parameters"):
-    print(f"k-diffusion does not have 'eta' parameter; reinstalling latest version")
-    try:
-        run_pip(f"install --upgrade --force-reinstall {k_diffusion_package}", "k-diffusion")
-    except RuntimeError as e:
-        print(str(e))
-
 if not is_installed("gfpgan"):
     run_pip(f"install {gfpgan_package}", "gfpgan")
 
@@ -127,6 +117,7 @@ os.makedirs(dir_repos, exist_ok=True)
 
 git_clone("https://github.com/CompVis/stable-diffusion.git", repo_dir('stable-diffusion'), "Stable Diffusion", stable_diffusion_commit_hash)
 git_clone("https://github.com/CompVis/taming-transformers.git", repo_dir('taming-transformers'), "Taming Transformers", taming_transformers_commit_hash)
+git_clone("https://github.com/crowsonkb/k-diffusion.git", repo_dir('k-diffusion'), "K-diffusion", k_diffusion_commit_hash)
 git_clone("https://github.com/sczhou/CodeFormer.git", repo_dir('CodeFormer'), "CodeFormer", codeformer_commit_hash)
 git_clone("https://github.com/salesforce/BLIP.git", repo_dir('BLIP'), "BLIP", blip_commit_hash)
 # Using my repo until my changes are merged, as this makes interfacing with our version of SD-web a lot easier

modules/paths.py

@@ -20,6 +20,7 @@ path_dirs = [
     (os.path.join(sd_path, '../CodeFormer'), 'inference_codeformer.py', 'CodeFormer'),
     (os.path.join(sd_path, '../BLIP'), 'models/blip.py', 'BLIP'),
     (os.path.join(sd_path, '../latent-diffusion'), 'LDSR.py', 'LDSR'),
+    (os.path.join(sd_path, '../k-diffusion'), 'k_diffusion/sampling.py', 'k_diffusion'),
 ]
 
 paths = {}

requirements.txt

@@ -18,3 +18,10 @@ git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e4512
 timm==0.4.12
 transformers
 torch
+einops
+jsonmerge
+clean-fid
+git+https://github.com/openai/CLIP@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1
+resize-right
+torchdiffeq
+kornia

requirements_versions.txt

@@ -15,3 +15,10 @@ font-roboto
 timm==0.6.7
 fairscale==0.4.9
 piexif==1.1.3
+einops==0.4.1
+jsonmerge==1.8.0
+clean-fid==0.1.29
+git+https://github.com/openai/CLIP@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1
+resize-right==0.0.2
+torchdiffeq==0.2.3
+kornia==0.6.7