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https://github.com/kohya-ss/sd-scripts.git
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Update sdxl_gen_img.py
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@@ -1491,11 +1491,14 @@ def main(args):
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if len(files) == 1:
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args.ckpt = files[0]
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device = get_preferred_device()
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logger.info(f"preferred device: {device}")
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(_, text_encoder1, text_encoder2, vae, unet, _, _) = sdxl_train_util._load_target_model(
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args.ckpt, args.vae, sdxl_model_util.MODEL_VERSION_SDXL_BASE_V1_0, dtype, device
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)
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unet: InferSdxlUNet2DConditionModel = InferSdxlUNet2DConditionModel(unet)
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text_encoder1.to(dtype).to(device)
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text_encoder2.to(dtype).to(device)
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unet.to(dtype).to(device)
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# xformers、Hypernetwork対応
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if not args.diffusers_xformers:
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mem_eff = not (args.xformers or args.sdpa)
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@@ -1649,12 +1652,9 @@ def main(args):
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if args.no_half_vae:
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logger.info("set vae_dtype to float32")
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vae_dtype = torch.float32
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#vae.to(vae_dtype).to(device)
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vae.to(vae_dtype).to(device)
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vae.eval()
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#text_encoder1.to(dtype).to(device)
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#text_encoder2.to(dtype).to(device)
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#unet.to(dtype).to(device)
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text_encoder1.eval()
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text_encoder2.eval()
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unet.eval()
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