Spaces:
Sleeping
Sleeping
Commit
·
eb27870
1
Parent(s):
0f2c19b
Updates
Browse files
app.py
CHANGED
@@ -13,6 +13,8 @@ import copy
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import random
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import time
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# Load LoRAs from JSON file
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with open('loras.json', 'r') as f:
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loras = json.load(f)
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@@ -57,6 +59,8 @@ class calculateDuration:
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print(f"Elapsed time: {self.elapsed_time:.6f} seconds")
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def update_selection(evt: gr.SelectData, width, height):
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selected_lora = loras[evt.index]
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new_placeholder = f"{selected_lora['trigger_word']} {prompt.value}"
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lora_repo = selected_lora["repo"]
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@@ -74,9 +78,9 @@ def update_selection(evt: gr.SelectData, width, height):
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return (
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gr.update(value=new_placeholder),
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updated_text,
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evt.index,
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width,
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height,
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)
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@spaces.GPU(duration=70)
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@@ -117,11 +121,12 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
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).images[0]
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return final_image
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def run_lora(prompt, cfg_scale, steps,
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raise gr.Error("You must select a LoRA before proceeding.")
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selected_lora = loras[
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lora_path = selected_lora["repo"]
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trigger_word = selected_lora["trigger_word"]
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@@ -201,7 +206,7 @@ with gr.Blocks() as demo:
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)
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with gr.Row():
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generate = gr.Button("Generate", variant="primary")
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cancel = gr.Button("Cancel")
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with gr.Row():
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@@ -227,9 +232,9 @@ with gr.Blocks() as demo:
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progress_bar = gr.Markdown(visible=False)
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# Event handlers
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gallery.select(update_selection, [width, height], [prompt, selected_lora,
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randomize_seed.change(lambda x: gr.update(visible=not x), randomize_seed, seed_input)
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generate_event = generate.click(run_lora, inputs=[prompt, cfg_scale, steps,
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cancel.click(lambda: None, None, None, cancels=[generate_event])
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demo.queue().launch()
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import random
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import time
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selected_lora_index = None
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+
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# Load LoRAs from JSON file
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with open('loras.json', 'r') as f:
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loras = json.load(f)
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print(f"Elapsed time: {self.elapsed_time:.6f} seconds")
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def update_selection(evt: gr.SelectData, width, height):
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global selected_lora_index
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selected_lora_index = evt.index
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selected_lora = loras[evt.index]
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new_placeholder = f"{selected_lora['trigger_word']} {prompt.value}"
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lora_repo = selected_lora["repo"]
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return (
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gr.update(value=new_placeholder),
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updated_text,
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width,
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height,
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gr.update(interactive=True) # Enable the Generate button
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)
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@spaces.GPU(duration=70)
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).images[0]
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return final_image
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def run_lora(prompt, cfg_scale, steps, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
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global selected_lora_index
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if selected_lora_index is None:
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raise gr.Error("You must select a LoRA before proceeding.")
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selected_lora = loras[selected_lora_index]
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lora_path = selected_lora["repo"]
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trigger_word = selected_lora["trigger_word"]
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)
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with gr.Row():
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generate = gr.Button("Generate", variant="primary", interactive=False)
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cancel = gr.Button("Cancel")
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with gr.Row():
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progress_bar = gr.Markdown(visible=False)
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# Event handlers
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gallery.select(update_selection, [width, height], [prompt, selected_lora, width, height, generate])
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randomize_seed.change(lambda x: gr.update(visible=not x), randomize_seed, seed_input)
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generate_event = generate.click(run_lora, inputs=[prompt, cfg_scale, steps, randomize_seed, seed_input, width, height, lora_scale], outputs=[result, seed_output, progress_bar])
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cancel.click(lambda: None, None, None, cancels=[generate_event])
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demo.queue().launch()
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