Update streamv2v_node.py
fix runway error
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+6
-4
@@ -195,22 +195,24 @@ class Stream_Model_Loader:
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scheduler_used = get_sheduler(scheduler)
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if use_sdxl:
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model_config = "stabilityai/stable-diffusion-xl-base-1.0"
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original_config_file = os.path.join(CURRENT_DIR, "models", "sd_xl_base.yaml")
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if dif_version_int >= 28:
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pipe = StableDiffusionXLPipeline.from_single_file(
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ckpt_path, original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
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ckpt_path, config=model_config,original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
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else:
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pipe = StableDiffusionXLPipeline.from_single_file(
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ckpt_path, original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
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ckpt_path,config=model_config, original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
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info = "sdxl"
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else:
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model_config = "Lykon/dreamshaper-8"
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original_config_file = os.path.join(folder_paths.models_dir, "configs", "v1-inference.yaml")
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if dif_version_int >= 28:
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pipe = StableDiffusionPipeline.from_single_file(
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ckpt_path, original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
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ckpt_path,config=model_config, original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
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else:
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pipe = StableDiffusionPipeline.from_single_file(
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ckpt_path, original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
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ckpt_path, config=model_config,original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
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info = "sd15"
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if vae_id != "":
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pipe.vae = AutoencoderKL.from_pretrained(vae_id, torch_dtype=torch.float16).to("cuda")
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