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add checkpoint info to saved embeddings

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AUTOMATIC 2022-10-02 20:15:25 +03:00
parent 71fe7fa49f
commit 4ec4af6e0b
1 changed files with 12 additions and 1 deletions
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13
modules/textual_inversion/textual_inversion.py
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@ -7,7 +7,7 @@ import tqdm
import html
import datetime
from modules import shared, devices, sd_hijack, processing
from modules import shared, devices, sd_hijack, processing, sd_models
import modules.textual_inversion.dataset
@ -17,6 +17,8 @@ class Embedding:
self.name = name
self.step = step
self.cached_checksum = None
self.sd_checkpoint = None
self.sd_checkpoint_name = None
def save(self, filename):
embedding_data = {
@ -24,6 +26,8 @@ class Embedding:
"string_to_param": {"*": self.vec},
"name": self.name,
"step": self.step,
"sd_checkpoint": self.sd_checkpoint,
"sd_checkpoint_name": self.sd_checkpoint_name,
}
torch.save(embedding_data, filename)
@ -41,6 +45,7 @@ class Embedding:
self.cached_checksum = f'{const_hash(self.vec.reshape(-1) * 100) & 0xffff:04x}'
return self.cached_checksum
class EmbeddingDatabase:
def __init__(self, embeddings_dir):
self.ids_lookup = {}
@ -96,6 +101,8 @@ class EmbeddingDatabase:
vec = emb.detach().to(devices.device, dtype=torch.float32)
embedding = Embedding(vec, name)
embedding.step = data.get('step', None)
embedding.sd_checkpoint = data.get('hash', None)
embedding.sd_checkpoint_name = data.get('sd_checkpoint_name', None)
self.register_embedding(embedding, shared.sd_model)
for fn in os.listdir(self.embeddings_dir):
@ -249,6 +256,10 @@ Last saved image: {html.escape(last_saved_image)}<br/>
</p>
"""
checkpoint = sd_models.select_checkpoint()
embedding.sd_checkpoint = checkpoint.hash
embedding.sd_checkpoint_name = checkpoint.model_name
embedding.cached_checksum = None
embedding.save(filename)