sky-admin
commited on
Commit
·
3df7773
1
Parent(s):
42f366f
update
Browse files- .gitignore +1 -0
- cache.json.lock +0 -0
- config.json +2 -2
- embeddings/By bad artist -neg.pt +0 -0
- embeddings/PaintStyle1.pt +0 -0
- embeddings/Place Textual Inversion embeddings here.txt +0 -0
- embeddings/advntr.pt +0 -0
- embeddings/bad_pictures.pt +0 -0
- embeddings/badhandsv5-neg.pt +0 -0
- embeddings/badhandv4.pt +0 -0
- embeddings/cooler_lalter-9000.pt +0 -0
- embeddings/easynegative.safetensors +0 -0
- embeddings/magicalinterior.pt +0 -0
- embeddings/nartfixer.pt +0 -0
- embeddings/negative_hand-neg.pt +0 -0
- embeddings/nfixer.pt +0 -0
- embeddings/ng_deepnegative_v1_75t.pt +0 -0
- embeddings/nrealfixer.pt +0 -0
- embeddings/pureerosface_v1.pt +0 -0
- embeddings/ulzzang-6500-v1.1.bin +0 -0
- handler.py +1 -1
- models/{Stable-diffusion/chilloutmix_NiPrunedFp32Fix.safetensors → Lora/FilmG3.safetensors} +2 -2
- models/{Stable-diffusion/ghost_majic_mix_v1.safetensors → Lora/M_Sence.safetensors} +2 -2
- models/Lora/PerfectNwsjMajic_4.safetensors +3 -0
- models/Lora/Piper_v1.safetensors +3 -0
- models/Lora/blindbox_V1Mix.safetensors +3 -0
- modules/scripts.py +0 -1
- predict.py +2 -2
.gitignore
CHANGED
@@ -23,3 +23,4 @@ notification.mp3
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/test/stdout.txt
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/test/stderr.txt
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/cache.json
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/test/stdout.txt
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/test/stderr.txt
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/cache.json
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+
/models/Stable-diffusion
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cache.json.lock
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File without changes
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config.json
CHANGED
@@ -64,7 +64,7 @@
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"training_enable_tensorboard": false,
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"training_tensorboard_save_images": false,
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"training_tensorboard_flush_every": 120,
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"sd_model_checkpoint": "
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"sd_checkpoint_cache": 0,
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"sd_vae_checkpoint_cache": 0,
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"sd_vae": "Automatic",
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@@ -145,4 +145,4 @@
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"SWIN_tile_overlap": 8,
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"sd_lora": "None",
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"lora_apply_to_outputs": false
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-
}
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"training_enable_tensorboard": false,
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"training_tensorboard_save_images": false,
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"training_tensorboard_flush_every": 120,
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+
"sd_model_checkpoint": "ghostmix_v20Bakedvae.safetensors",
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"sd_checkpoint_cache": 0,
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"sd_vae_checkpoint_cache": 0,
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"sd_vae": "Automatic",
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"SWIN_tile_overlap": 8,
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"sd_lora": "None",
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"lora_apply_to_outputs": false
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}
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embeddings/By bad artist -neg.pt
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File without changes
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embeddings/PaintStyle1.pt
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File without changes
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embeddings/Place Textual Inversion embeddings here.txt
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File without changes
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embeddings/advntr.pt
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embeddings/bad_pictures.pt
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embeddings/badhandsv5-neg.pt
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embeddings/badhandv4.pt
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embeddings/cooler_lalter-9000.pt
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File without changes
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embeddings/easynegative.safetensors
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embeddings/magicalinterior.pt
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embeddings/nartfixer.pt
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File without changes
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embeddings/negative_hand-neg.pt
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File without changes
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embeddings/nfixer.pt
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File without changes
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embeddings/ng_deepnegative_v1_75t.pt
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embeddings/nrealfixer.pt
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embeddings/pureerosface_v1.pt
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embeddings/ulzzang-6500-v1.1.bin
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handler.py
CHANGED
@@ -95,7 +95,7 @@ def initialize():
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shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
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shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)
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shared.reload_hypernetworks()
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# ui_extra_networks.intialize()
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# ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
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shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
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shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)
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# shared.reload_hypernetworks()
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# ui_extra_networks.intialize()
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# ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
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models/{Stable-diffusion/chilloutmix_NiPrunedFp32Fix.safetensors → Lora/FilmG3.safetensors}
RENAMED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:536a82332d3b1dd94c101cb27e932ce5148b6457e213710a2a35b2839a56fe88
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+
size 151108832
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models/{Stable-diffusion/ghost_majic_mix_v1.safetensors → Lora/M_Sence.safetensors}
RENAMED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:cdd15dc2df0fccb0b622590e69ad8934240a459386a0a822a74b711cc7f26f7c
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+
size 37871377
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models/Lora/PerfectNwsjMajic_4.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:553d256661ab98db3d2dff3e1520f2e27288e7ab06359c99ed7b730ed5af9d9c
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+
size 37863279
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models/Lora/Piper_v1.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9ec930a8d4d01d6d1f8bc97961ecf2fe529f1a2ead5cd691019041878a67506
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+
size 151111466
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models/Lora/blindbox_V1Mix.safetensors
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:525491e6289d1912839c0bb5e3c3c390fead13c46cdd435c1b6a6ab3ea9ac14f
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size 151108831
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modules/scripts.py
CHANGED
@@ -181,7 +181,6 @@ def list_scripts(scriptdirname, extension):
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scripts_list = [x for x in scripts_list if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
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print("111111111 scripts_list", scripts_list)
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return scripts_list
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scripts_list = [x for x in scripts_list if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
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return scripts_list
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predict.py
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@@ -42,7 +42,7 @@ import modules.textual_inversion.textual_inversion
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import modules.progress
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import modules.ui
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from modules import modelloader
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from modules.shared import cmd_opts, opts
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import modules.hypernetworks.hypernetwork
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@@ -50,6 +50,7 @@ from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusion
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def initialize():
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modelloader.cleanup_models()
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modules.sd_models.setup_model()
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codeformer.setup_model(cmd_opts.codeformer_models_path)
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@@ -102,7 +103,6 @@ class Predictor(BasePredictor):
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seed: int = Input(description="seed", default=-1),
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) -> Path:
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"""Run a single prediction on the model"""
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modules.script_callbacks.before_ui_callback()
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args = {
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"do_not_save_samples": True,
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"do_not_save_grid": True,
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import modules.progress
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import modules.ui
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from modules import modelloader, extensions
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from modules.shared import cmd_opts, opts
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import modules.hypernetworks.hypernetwork
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def initialize():
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extensions.list_extensions()
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modelloader.cleanup_models()
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modules.sd_models.setup_model()
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codeformer.setup_model(cmd_opts.codeformer_models_path)
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seed: int = Input(description="seed", default=-1),
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) -> Path:
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"""Run a single prediction on the model"""
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args = {
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"do_not_save_samples": True,
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"do_not_save_grid": True,
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