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app.py
CHANGED
@@ -111,9 +111,11 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
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progress(1, desc="Preparing Inference.")
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image = generate_image(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, progress)
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if selected_index is not None: pipe.unload_lora_weights()
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-
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clear_cache()
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return image, seed
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progress(1, desc="Preparing Inference.")
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image = generate_image(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, progress)
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if is_valid_lora(lora_json):
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pipe.unfuse_lora()
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pipe.unload_lora_weights()
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if selected_index is not None: pipe.unload_lora_weights()
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pipe.to("cpu")
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clear_cache()
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return image, seed
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mod.py
CHANGED
@@ -135,7 +135,7 @@ def fuse_loras(pipe, lorajson: list[dict]):
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if not a_list: return
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pipe.set_adapters(a_list, adapter_weights=w_list)
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pipe.fuse_lora(adapter_names=a_list, lora_scale=1.0)
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pipe.unload_lora_weights()
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change_base_model.zerogpu = True
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if not a_list: return
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pipe.set_adapters(a_list, adapter_weights=w_list)
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pipe.fuse_lora(adapter_names=a_list, lora_scale=1.0)
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#pipe.unload_lora_weights()
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change_base_model.zerogpu = True
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