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Wan2GP
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fixed missing lora options

This commit is contained in:
Chris Malone 2025-04-25 14:23:56 +10:00
parent 3c70c26674
commit 4a56ffaf22
1 changed files with 21 additions and 4 deletions
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25
wgp.py
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@ -4984,12 +4984,28 @@ def create_demo():
else:
theme = gr.themes.Soft(font=["Verdana"], primary_hue="sky", neutral_hue="slate", text_size="md")
initial_lora_dir = get_lora_dir(transformer_filename)
try:
initial_loras, initial_loras_names, _, _, _, _, _ = setup_loras(
transformer_filename, None, initial_lora_dir, "", None
)
print(f"Found {len(initial_loras_names)} initial loras for default model.")
except Exception as e:
print(f"Warning: Could not initially load loras for default model '{transformer_filename}': {e}")
initial_loras_names = []
with gr.Blocks(css=css, theme=theme, title= "Wan2GP") as demo:
gr.Markdown("<div align=center><H1>Wan<SUP>GP</SUP> v4.2 <FONT SIZE=4>by <I>DeepBeepMeep</I></FONT> <FONT SIZE=3>") # (<A HREF='https://github.com/deepbeepmeep/Wan2GP'>Updates</A>)</FONT SIZE=3></H1></div>")
global model_list
tab_state = gr.State({ "tab_no":0 })
dropdown_types = transformer_types if len(transformer_types) > 0 else model_types
available_model_files = []
for model_type in dropdown_types:
choice = get_model_filename(model_type, transformer_quantization)
available_model_files.append(choice)
with gr.Tabs(selected="video_gen", ) as main_tabs:
with gr.Tab("Video Generator", id="video_gen"):
with gr.Row():
@ -5010,18 +5026,19 @@ def create_demo():
) = generate_video_tab(model_choice=model_choice, header=header)
with gr.Tab("Extras", id="extras"):
gr.Markdown("## Batch Queue Creator")
gr.Markdown("Create a `queue.zip` file from a folder containing images, sorted by modification time (oldest first).")
gr.Markdown("Create a `queue.zip` file from a folder containing pairs of start/end images, sorted by modification time (oldest first).")
with gr.Row():
with gr.Column(scale=3):
batch_folder_input = gr.Textbox(label="Image Folder Path", placeholder="/path/to/your/image_pairs")
batch_prompt_input = gr.Textbox(label="Prompt for all tasks", lines=2)
batch_lora_input = gr.Dropdown(label="LoRA (Optional)", choices=state.get("loras_names", []), value="")
batch_lora_input = gr.Dropdown(label="LoRA (Optional)", choices=[""] + initial_loras_names, value="")
batch_model_input = gr.Dropdown(label="Model Filename", choices=available_model_files, value=transformer_filename)
batch_has_end_frames_cb = gr.Checkbox(label="Folder contains end frames (Required to generate queue)", value=False)
batch_generate_button = gr.Button("Generate Batch Queue")
batch_has_end_frames_cb = gr.Checkbox(label="Folder contains end frames", value=False)
batch_generate_button = gr.Button("Generate Batch Queue (.zip)")
with gr.Column(scale=1):
batch_status_output = gr.Markdown("")
batch_download_output = gr.DownloadButton(label="Download queue.zip", visible=False, interactive=True)
batch_generate_button.click(
fn=create_batch_queue,
inputs=[batch_folder_input, batch_prompt_input, batch_lora_input, batch_model_input, batch_has_end_frames_cb],