Spaces:
Running
on
Zero
Running
on
Zero
liujie31
commited on
Commit
·
7562a15
1
Parent(s):
45fa259
delete model call count because restart will reset to inital value
Browse files- app.py +18 -7
- model_call_counter.txt +0 -1
app.py
CHANGED
@@ -159,8 +159,19 @@ css = """
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("
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with gr.Row():
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prompt = gr.Textbox(
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label="Prompt",
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@@ -239,11 +250,11 @@ with gr.Blocks(css=css) as demo:
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value=40, # Replace with defaults that work for your model
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)
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call_count_display = gr.Textbox(
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)
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gr.on(
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triggers=[run_button.click, prompt.submit],
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fn=infer,
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@@ -257,7 +268,7 @@ with gr.Blocks(css=css) as demo:
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num_inference_steps,
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lora_model,
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],
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outputs=[result, seed_display
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)
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if __name__ == "__main__":
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("""
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# SD3.5 Medium + Flow-GRPO
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Our model is trained separately for different tasks, so it’s best to use the corresponding prompt format for each task.
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**User Guide:**
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1. Select a LoRA model (choose “None” to use the base model)
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2. Click “Sample Prompt” to randomly select from ~1000 task-specific prompts, or write your own
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3. Click “Run” to generate images (a 2×2 grid of 4 images will be produced)
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**Note:**
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- For the *Text Rendering* task, please enclose the text to be displayed in **double quotes (`"`)**, not single quotes (`'`)
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""")
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with gr.Row():
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prompt = gr.Textbox(
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label="Prompt",
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value=40, # Replace with defaults that work for your model
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)
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# call_count_display = gr.Textbox(
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# label="Model Call Count",
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# value=f"Model has been called {get_call_count()} times",
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# interactive=False
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# )
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gr.on(
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triggers=[run_button.click, prompt.submit],
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fn=infer,
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num_inference_steps,
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lora_model,
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],
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outputs=[result, seed_display],
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)
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if __name__ == "__main__":
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model_call_counter.txt
DELETED
@@ -1 +0,0 @@
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