Update app.py
Browse files
app.py
CHANGED
@@ -31,10 +31,8 @@ if torch.cuda.is_available():
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variant="fp16",
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).to(device)
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-
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-
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pipe_sdxl.load_lora_weights(tdd_lora, adapter_name="TDD")
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pipe_sdxl.load_lora_weights(tdd_adv_lora, adapter_name="TDD_adv")
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pipe_sdxl.scheduler = TDDScheduler.from_config(pipe_sdxl.scheduler.config)
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pipe_sdxl_real = StableDiffusionXLPipeline.from_pretrained(
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@@ -43,8 +41,8 @@ if torch.cuda.is_available():
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torch_dtype=torch.float16,
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variant="fp16",
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).to(device)
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pipe_sdxl_real.load_lora_weights(
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pipe_sdxl_real.load_lora_weights(
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pipe_sdxl_real.scheduler = TDDScheduler.from_config(pipe_sdxl.scheduler.config)
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def update_base_model(ckpt):
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variant="fp16",
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).to(device)
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pipe_sdxl.load_lora_weights("RED-AIGC/TDD", weight_name=ACC_lora["TDD"], adapter_name="TDD")
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pipe_sdxl.load_lora_weights("RED-AIGC/TDD", weight_name=ACC_lora["TDD_adv"], adapter_name="TDD_adv")
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pipe_sdxl.scheduler = TDDScheduler.from_config(pipe_sdxl.scheduler.config)
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pipe_sdxl_real = StableDiffusionXLPipeline.from_pretrained(
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torch_dtype=torch.float16,
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variant="fp16",
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).to(device)
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pipe_sdxl_real.load_lora_weights("RED-AIGC/TDD", weight_name=ACC_lora["TDD"], adapter_name="TDD")
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pipe_sdxl_real.load_lora_weights("RED-AIGC/TDD", weight_name=ACC_lora["TDD_adv"], adapter_name="TDD_adv")
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pipe_sdxl_real.scheduler = TDDScheduler.from_config(pipe_sdxl.scheduler.config)
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def update_base_model(ckpt):
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