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Running
on
Zero
Running
on
Zero
AlekseyCalvin
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -140,12 +140,10 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
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pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
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pipe.load_lora_weights(lora_path, weight_name=selected_lora["weights"], adapter_name=selected_lora["repo"], adapter_weights=lora_scale)
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pipe.set_adapters(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
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pipe.fuse_lora(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
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else:
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pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
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pipe.load_lora_weights(lora_path, adapter_name=selected_lora["repo"], adapter_weights=lora_scale)
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pipe.set_adapters(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
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pipe.fuse_lora(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
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# Set random seed for reproducibility
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with calculateDuration("Randomizing seed"):
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pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
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pipe.load_lora_weights(lora_path, weight_name=selected_lora["weights"], adapter_name=selected_lora["repo"], adapter_weights=lora_scale)
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pipe.set_adapters(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
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else:
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pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
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pipe.load_lora_weights(lora_path, adapter_name=selected_lora["repo"], adapter_weights=lora_scale)
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pipe.set_adapters(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
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# Set random seed for reproducibility
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with calculateDuration("Randomizing seed"):
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