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fix embedding parser and use standard embedding varuable for metadata (#1516)

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rbertus2000 2023-08-22 05:38:59 +02:00 committed by GitHub
parent 18049d529a
commit 669d40a9d2
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2 changed files with 3 additions and 24 deletions
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25
ui/easydiffusion/utils/save_utils.py
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@ -34,7 +34,7 @@ TASK_TEXT_MAPPING = {
"lora_alpha": "LoRA Strength",
"use_hypernetwork_model": "Hypernetwork model",
"hypernetwork_strength": "Hypernetwork Strength",
"use_embedding_models": "Embedding models",
"use_embeddings_model": "Embedding models",
"tiling": "Seamless Tiling",
"use_face_correction": "Use Face Correction",
"use_upscale": "Use Upscaling",
@ -228,28 +228,7 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
metadata[key] = req_metadata[key]
elif key in task_data_metadata:
metadata[key] = task_data_metadata[key]
elif key == "use_embedding_models" and using_diffusers:
embeddings_extensions = {".pt", ".bin", ".safetensors"}
def scan_directory(directory_path: str):
used_embeddings = []
for entry in os.scandir(directory_path):
if entry.is_file():
entry_extension = os.path.splitext(entry.name)[1]
if entry_extension not in embeddings_extensions:
continue
embedding_name_regex = regex.compile(
r"(^|[\s,])" + regex.escape(os.path.splitext(entry.name)[0]) + r"([+-]*$|[\s,]|[+-]+[\s,])"
)
if embedding_name_regex.search(req.prompt) or embedding_name_regex.search(req.negative_prompt):
used_embeddings.append(entry.path)
elif entry.is_dir():
used_embeddings.extend(scan_directory(entry.path))
return used_embeddings
used_embeddings = scan_directory(os.path.join(app.MODELS_DIR, "embeddings"))
metadata["use_embedding_models"] = used_embeddings if len(used_embeddings) > 0 else None
# Clean up the metadata
if req.init_image is None and "prompt_strength" in metadata:

2
ui/media/js/main.js
View File

@ -1306,7 +1306,7 @@ function getCurrentUserRequest() {
function setEmbeddings(task) {
let prompt = task.reqBody.prompt.toLowerCase()
let negativePrompt = task.reqBody.negative_prompt.toLowerCase()
let overallPrompt = (prompt + " " + negativePrompt).replaceAll(",", "").split(" ")
let overallPrompt = (prompt + " " + negativePrompt)
let embeddingsTree = modelsOptions["embeddings"]
let embeddings = []