+
+### *Three key points*
+
+Finally, it is relevant to mention that, in general, there are 3 important moments in the process of image formation as steps increase:
+
+* The (earliest) point at which an image becomes a good indicator of the final result (useful for batch generation at low step values, to then improve the quality/coherence of the chosen images via running the same prompt and seed for more steps).
+
+* The (earliest) point at which an image becomes coherent, even if different from the result if steps are increased (useful for batch generation at low step values, where quality/coherence is improved via techniques other than increasing the steps -e.g. via inpainting).
+
+* The point at which an image fully converges.
+
+Hence, remember that your workflow/strategy should define your optimal number of steps, even for the same prompt and seed (for example, if you seek full convergence, you may run `K_LMS` for `-s200` in the case of the red-haired girl, but `K_LMS` and `-s20`-taking one tenth the time- may do as well if your workflow includes adding small details, such as the missing shoulder strap, via `img2img`).
From e19aab4a9b4f2d38dc2caec5f896c378dbfe0d1d Mon Sep 17 00:00:00 2001
From: Any-Winter-4079 <50542132+Any-Winter-4079@users.noreply.github.com>
Date: Sun, 25 Sep 2022 19:12:11 +0200
Subject: [PATCH 02/10] Textual Inversion for M1
Update main.py
Update ddpm.py
Update personalized.py
Update personalized_style.py
Update v1-finetune.yaml
Update environment-mac.yaml
Rename v1-finetune.yaml to v1-m1-finetune.yaml
Create v1-finetune.yaml
Update main.py
Update main.py
Update environment-mac.yaml
Update v1-inference.yaml
---
configs/stable-diffusion/v1-finetune.yaml | 2 +-
configs/stable-diffusion/v1-inference.yaml | 4 +-
configs/stable-diffusion/v1-m1-finetune.yaml | 110 +++++++++++++++++++
environment-mac.yaml | 6 +-
ldm/data/personalized.py | 2 +-
ldm/data/personalized_style.py | 2 +-
ldm/models/diffusion/ddpm.py | 4 +-
ldm/modules/embedding_manager.py | 11 +-
main.py | 45 ++++++--
9 files changed, 163 insertions(+), 23 deletions(-)
create mode 100644 configs/stable-diffusion/v1-m1-finetune.yaml
diff --git a/configs/stable-diffusion/v1-finetune.yaml b/configs/stable-diffusion/v1-finetune.yaml
index 7bc31168e7..df22987fa5 100644
--- a/configs/stable-diffusion/v1-finetune.yaml
+++ b/configs/stable-diffusion/v1-finetune.yaml
@@ -107,4 +107,4 @@ lightning:
benchmark: True
max_steps: 4000000
# max_steps: 4000
-
\ No newline at end of file
+
diff --git a/configs/stable-diffusion/v1-inference.yaml b/configs/stable-diffusion/v1-inference.yaml
index 59d8f33125..da4770ffc7 100644
--- a/configs/stable-diffusion/v1-inference.yaml
+++ b/configs/stable-diffusion/v1-inference.yaml
@@ -30,9 +30,9 @@ model:
target: ldm.modules.embedding_manager.EmbeddingManager
params:
placeholder_strings: ["*"]
- initializer_words: ["sculpture"]
+ initializer_words: ['face', 'man', 'photo', 'africanmale']
per_image_tokens: false
- num_vectors_per_token: 1
+ num_vectors_per_token: 6
progressive_words: False
unet_config:
diff --git a/configs/stable-diffusion/v1-m1-finetune.yaml b/configs/stable-diffusion/v1-m1-finetune.yaml
new file mode 100644
index 0000000000..af37f1ec7e
--- /dev/null
+++ b/configs/stable-diffusion/v1-m1-finetune.yaml
@@ -0,0 +1,110 @@
+model:
+ base_learning_rate: 5.0e-03
+ target: ldm.models.diffusion.ddpm.LatentDiffusion
+ params:
+ linear_start: 0.00085
+ linear_end: 0.0120
+ num_timesteps_cond: 1
+ log_every_t: 200
+ timesteps: 1000
+ first_stage_key: image
+ cond_stage_key: caption
+ image_size: 64
+ channels: 4
+ cond_stage_trainable: true # Note: different from the one we trained before
+ conditioning_key: crossattn
+ monitor: val/loss_simple_ema
+ scale_factor: 0.18215
+ use_ema: False
+ embedding_reg_weight: 0.0
+
+ personalization_config:
+ target: ldm.modules.embedding_manager.EmbeddingManager
+ params:
+ placeholder_strings: ["*"]
+ initializer_words: ['face', 'man', 'photo', 'africanmale']
+ per_image_tokens: false
+ num_vectors_per_token: 6
+ progressive_words: False
+
+ unet_config:
+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+ params:
+ image_size: 32 # unused
+ in_channels: 4
+ out_channels: 4
+ model_channels: 320
+ attention_resolutions: [ 4, 2, 1 ]
+ num_res_blocks: 2
+ channel_mult: [ 1, 2, 4, 4 ]
+ num_heads: 8
+ use_spatial_transformer: True
+ transformer_depth: 1
+ context_dim: 768
+ use_checkpoint: True
+ legacy: False
+
+ first_stage_config:
+ target: ldm.models.autoencoder.AutoencoderKL
+ params:
+ embed_dim: 4
+ monitor: val/rec_loss
+ ddconfig:
+ double_z: true
+ z_channels: 4
+ resolution: 256
+ in_channels: 3
+ out_ch: 3
+ ch: 128
+ ch_mult:
+ - 1
+ - 2
+ - 4
+ - 4
+ num_res_blocks: 2
+ attn_resolutions: []
+ dropout: 0.0
+ lossconfig:
+ target: torch.nn.Identity
+
+ cond_stage_config:
+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+
+data:
+ target: main.DataModuleFromConfig
+ params:
+ batch_size: 1
+ num_workers: 2
+ wrap: false
+ train:
+ target: ldm.data.personalized.PersonalizedBase
+ params:
+ size: 512
+ set: train
+ per_image_tokens: false
+ repeats: 100
+ validation:
+ target: ldm.data.personalized.PersonalizedBase
+ params:
+ size: 512
+ set: val
+ per_image_tokens: false
+ repeats: 10
+
+lightning:
+ modelcheckpoint:
+ params:
+ every_n_train_steps: 500
+ callbacks:
+ image_logger:
+ target: main.ImageLogger
+ params:
+ batch_frequency: 500
+ max_images: 5
+ increase_log_steps: False
+
+ trainer:
+ benchmark: False
+ max_steps: 6200
+# max_steps: 4000
+
diff --git a/environment-mac.yaml b/environment-mac.yaml
index 95f38438e2..74cd66ff4b 100644
--- a/environment-mac.yaml
+++ b/environment-mac.yaml
@@ -32,13 +32,13 @@ dependencies:
- omegaconf==2.1.1
- onnx==1.12.0
- onnxruntime==1.12.1
- - protobuf==3.20.1
+ - protobuf==3.19.5
- pudb==2022.1
- - pytorch-lightning==1.6.5
+ - pytorch-lightning==1.7.5
- scipy==1.9.1
- streamlit==1.12.2
- sympy==1.10.1
- - tensorboard==2.9.0
+ - tensorboard==2.10.0
- torchmetrics==0.9.3
- pip:
- flask==2.1.3
diff --git a/ldm/data/personalized.py b/ldm/data/personalized.py
index 15fc8a8d2d..8d9573fbc6 100644
--- a/ldm/data/personalized.py
+++ b/ldm/data/personalized.py
@@ -117,7 +117,7 @@ class PersonalizedBase(Dataset):
self.image_paths = [
os.path.join(self.data_root, file_path)
- for file_path in os.listdir(self.data_root)
+ for file_path in os.listdir(self.data_root) if file_path != ".DS_Store"
]
# self._length = len(self.image_paths)
diff --git a/ldm/data/personalized_style.py b/ldm/data/personalized_style.py
index 56d77d7e81..118d5be991 100644
--- a/ldm/data/personalized_style.py
+++ b/ldm/data/personalized_style.py
@@ -93,7 +93,7 @@ class PersonalizedBase(Dataset):
self.image_paths = [
os.path.join(self.data_root, file_path)
- for file_path in os.listdir(self.data_root)
+ for file_path in os.listdir(self.data_root) if file_path != ".DS_Store"
]
# self._length = len(self.image_paths)
diff --git a/ldm/models/diffusion/ddpm.py b/ldm/models/diffusion/ddpm.py
index ccfffa9b9b..3f103da767 100644
--- a/ldm/models/diffusion/ddpm.py
+++ b/ldm/models/diffusion/ddpm.py
@@ -701,7 +701,7 @@ class LatentDiffusion(DDPM):
@rank_zero_only
@torch.no_grad()
- def on_train_batch_start(self, batch, batch_idx, dataloader_idx):
+ def on_train_batch_start(self, batch, batch_idx, dataloader_idx=None):
# only for very first batch
if (
self.scale_by_std
@@ -1890,7 +1890,7 @@ class LatentDiffusion(DDPM):
N=8,
n_row=4,
sample=True,
- ddim_steps=200,
+ ddim_steps=50,
ddim_eta=1.0,
return_keys=None,
quantize_denoised=True,
diff --git a/ldm/modules/embedding_manager.py b/ldm/modules/embedding_manager.py
index 09e6f495ab..18688708f9 100644
--- a/ldm/modules/embedding_manager.py
+++ b/ldm/modules/embedding_manager.py
@@ -169,9 +169,14 @@ class EmbeddingManager(nn.Module):
placeholder_embedding.shape[0], max_step_tokens
)
- placeholder_rows, placeholder_cols = torch.where(
- tokenized_text == placeholder_token.to(device)
- )
+ if torch.cuda.is_available():
+ placeholder_rows, placeholder_cols = torch.where(
+ tokenized_text == placeholder_token.to(device)
+ )
+ else:
+ placeholder_rows, placeholder_cols = torch.where(
+ tokenized_text == placeholder_token
+ )
if placeholder_rows.nelement() == 0:
continue
diff --git a/main.py b/main.py
index 72aaa49c3b..436b7251ba 100644
--- a/main.py
+++ b/main.py
@@ -25,6 +25,23 @@ from pytorch_lightning.utilities import rank_zero_info
from ldm.data.base import Txt2ImgIterableBaseDataset
from ldm.util import instantiate_from_config
+def fix_func(orig):
+ if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+ def new_func(*args, **kw):
+ device = kw.get("device", "mps")
+ kw["device"]="cpu"
+ return orig(*args, **kw).to(device)
+ return new_func
+ return orig
+
+torch.rand = fix_func(torch.rand)
+torch.rand_like = fix_func(torch.rand_like)
+torch.randn = fix_func(torch.randn)
+torch.randn_like = fix_func(torch.randn_like)
+torch.randint = fix_func(torch.randint)
+torch.randint_like = fix_func(torch.randint_like)
+torch.bernoulli = fix_func(torch.bernoulli)
+torch.multinomial = fix_func(torch.multinomial)
def load_model_from_config(config, ckpt, verbose=False):
print(f'Loading model from {ckpt}')
@@ -422,9 +439,7 @@ class ImageLogger(Callback):
self.rescale = rescale
self.batch_freq = batch_frequency
self.max_images = max_images
- self.logger_log_images = {
- pl.loggers.TestTubeLogger: self._testtube,
- }
+ self.logger_log_images = { pl.loggers.TestTubeLogger: self._testtube, } if torch.cuda.is_available() else { }
self.log_steps = [
2**n for n in range(int(np.log2(self.batch_freq)) + 1)
]
@@ -527,7 +542,7 @@ class ImageLogger(Callback):
return False
def on_train_batch_end(
- self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx
+ self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx=None
):
if not self.disabled and (
pl_module.global_step > 0 or self.log_first_step
@@ -535,7 +550,7 @@ class ImageLogger(Callback):
self.log_img(pl_module, batch, batch_idx, split='train')
def on_validation_batch_end(
- self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx
+ self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx=None
):
if not self.disabled and pl_module.global_step > 0:
self.log_img(pl_module, batch, batch_idx, split='val')
@@ -555,7 +570,7 @@ class CUDACallback(Callback):
torch.cuda.synchronize(trainer.root_gpu)
self.start_time = time.time()
- def on_train_epoch_end(self, trainer, pl_module, outputs):
+ def on_train_epoch_end(self, trainer, pl_module, outputs=None):
if torch.cuda.is_available():
torch.cuda.synchronize(trainer.root_gpu)
epoch_time = time.time() - self.start_time
@@ -736,6 +751,12 @@ if __name__ == '__main__':
trainer_kwargs = dict()
# default logger configs
+ if torch.cuda.is_available():
+ def_logger = 'testtube'
+ def_logger_target = 'TestTubeLogger'
+ else:
+ def_logger = 'csv'
+ def_logger_target = 'CSVLogger'
default_logger_cfgs = {
'wandb': {
'target': 'pytorch_lightning.loggers.WandbLogger',
@@ -746,15 +767,15 @@ if __name__ == '__main__':
'id': nowname,
},
},
- 'testtube': {
- 'target': 'pytorch_lightning.loggers.TestTubeLogger',
+ def_logger: {
+ 'target': 'pytorch_lightning.loggers.' + def_logger_target,
'params': {
- 'name': 'testtube',
+ 'name': def_logger,
'save_dir': logdir,
},
},
}
- default_logger_cfg = default_logger_cfgs['testtube']
+ default_logger_cfg = default_logger_cfgs[def_logger]
if 'logger' in lightning_config:
logger_cfg = lightning_config.logger
else:
@@ -868,6 +889,10 @@ if __name__ == '__main__':
]
trainer_kwargs['max_steps'] = trainer_opt.max_steps
+ if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+ trainer_opt.accelerator = 'mps'
+ trainer_opt.detect_anomaly = False
+
trainer = Trainer.from_argparse_args(trainer_opt, **trainer_kwargs)
trainer.logdir = logdir ###
From c78ae752bb5052f79431c5cfc60d09a041caf181 Mon Sep 17 00:00:00 2001
From: Any-Winter-4079 <50542132+Any-Winter-4079@users.noreply.github.com>
Date: Tue, 27 Sep 2022 12:46:10 +0200
Subject: [PATCH 03/10] Fix dlopen err from choices: protobuf<3.20,>=3.9.2
pytorch-lightning==1.7.5 requires protobuf<3.20,>=3.9.2 but 3.19.5 seems to cause dlopen error on some setups. Downgrading to 3.19.4 seems to fix it.
---
environment-mac.yaml | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/environment-mac.yaml b/environment-mac.yaml
index 74cd66ff4b..e0c7b7168d 100644
--- a/environment-mac.yaml
+++ b/environment-mac.yaml
@@ -32,7 +32,7 @@ dependencies:
- omegaconf==2.1.1
- onnx==1.12.0
- onnxruntime==1.12.1
- - protobuf==3.19.5
+ - protobuf==3.19.4
- pudb==2022.1
- pytorch-lightning==1.7.5
- scipy==1.9.1
From ea67040ef197cee1653eacb11a26c2742895c58b Mon Sep 17 00:00:00 2001
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