Spaces:
Running
Running
Commit
•
72cad74
1
Parent(s):
2238903
attempt to load lora on cpu
Browse files
app.py
CHANGED
@@ -49,6 +49,20 @@ def update_selection(evt: gr.SelectData):
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@spaces.GPU(duration=80)
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def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
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if selected_index is None:
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raise gr.Error("You must select a LoRA before proceeding.")
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@@ -69,24 +83,11 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator(device="cuda").manual_seed(seed)
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with calculateDuration("Generating image"):
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# Generate image
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image = pipe(
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prompt=f"{prompt} {trigger_word}",
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num_inference_steps=steps,
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guidance_scale=cfg_scale,
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width=width,
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height=height,
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generator=generator,
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joint_attention_kwargs={"scale": lora_scale},
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).images[0]
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yield image, seed
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with calculateDuration("Unloading weights"):
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pipe.unload_lora_weights()
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css = '''
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#gen_btn{height: 100%}
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)
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@spaces.GPU(duration=80)
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def generate_image(prompt, trigger_word, steps, cfg_scale, width, height, generator, lora_scale, progress):
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with calculateDuration("Generating image"):
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# Generate image
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image = pipe(
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prompt=f"{prompt} {trigger_word}",
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num_inference_steps=steps,
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guidance_scale=cfg_scale,
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width=width,
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height=height,
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generator=generator,
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joint_attention_kwargs={"scale": lora_scale},
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).images[0]
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return image
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def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
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if selected_index is None:
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raise gr.Error("You must select a LoRA before proceeding.")
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator(device="cuda").manual_seed(seed)
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image = generate_image(prompt, trigger_word, steps, cfg_scale, width, height, generator, lora_scale, progress)
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pipe.unload_lora_weights()
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return image, seed
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css = '''
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#gen_btn{height: 100%}
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