Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -70,8 +70,8 @@ if lora_path:
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)
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print(f"✓ Configured scheduler (flow_shift=2.0)")
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# pipe.enable_model_cpu_offload()
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pipe.to("cuda")
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end = time.time()
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print(f"Model loaded in {end - start:.2f}s.")
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@@ -117,7 +117,8 @@ def run_inference(
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):
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# Rewriter
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final_prompt = prompt
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# Enhance prompt with CoT reasoning
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start = time.time()
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cot_prompt = enhance_prompt(
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@@ -128,6 +129,7 @@ def run_inference(
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)
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end = time.time()
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print(f"Prompt enhanced in {end - start:.2f}s")
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# Print enhanced CoT prompt
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print("\n" + "=" * 80)
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@@ -160,6 +162,7 @@ def run_inference(
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guidance_scale=guidance_scale,
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enable_temporal_reasoning=enable_temporal_reasoning,
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num_temporal_reasoning_steps=num_temporal_reasoning_steps,
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).frames[0]
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end = time.time()
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print(f"Generated video in {end - start:.2f}s")
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)
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print(f"✓ Configured scheduler (flow_shift=2.0)")
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pipe.to("cuda")
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# pipe.enable_model_cpu_offload()
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end = time.time()
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print(f"Model loaded in {end - start:.2f}s.")
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):
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# Rewriter
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final_prompt = prompt
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+
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prompt_model.to("cuda")
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# Enhance prompt with CoT reasoning
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start = time.time()
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cot_prompt = enhance_prompt(
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)
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end = time.time()
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print(f"Prompt enhanced in {end - start:.2f}s")
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prompt_model.to("cpu")
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# Print enhanced CoT prompt
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print("\n" + "=" * 80)
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guidance_scale=guidance_scale,
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enable_temporal_reasoning=enable_temporal_reasoning,
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num_temporal_reasoning_steps=num_temporal_reasoning_steps,
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# offload_model=True
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).frames[0]
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end = time.time()
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print(f"Generated video in {end - start:.2f}s")
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