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Update app.py
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app.py
CHANGED
@@ -230,9 +230,12 @@ def load_and_prepare_model(model_id):
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#pipe.vae.to(torch.bfloat16)
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#pipe.to(device, torch.bfloat16)
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#del pipeX
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pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", adapter_name="skin")
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pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/epicNewPhoto.safetensors", adapter_name="photo")
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pipe.set_adapters(["skin", "photo"], adapter_weights=[0.
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#sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="dpmsolver++")
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#sched = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, beta_schedule="linear", algorithm_type="dpmsolver++")
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#pipe.vae.to(torch.bfloat16)
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#pipe.to(device, torch.bfloat16)
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#del pipeX
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+
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pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="Fantasy_World_XL.safetensors", adapter_name="fantasy")
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pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", adapter_name="skin")
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pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/epicNewPhoto.safetensors", adapter_name="photo")
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#pipe.set_adapters(["skin", "photo", "fantasy"], adapter_weights=[0.5, 0.5, 0.5])
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pipe.set_adapters(["skin", "photo", "fantasy"], adapter_weights=[1.0, 1.0, 1.0])
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#sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="dpmsolver++")
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#sched = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, beta_schedule="linear", algorithm_type="dpmsolver++")
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