Update streamv2v_node.py

fix runway error
This commit is contained in:
smthemex
2024-09-06 16:20:59 +08:00
committed by GitHub
parent 911adfce5f
commit 5e0c0f6196
+6 -4
View File
@@ -195,22 +195,24 @@ class Stream_Model_Loader:
scheduler_used = get_sheduler(scheduler)
if use_sdxl:
model_config = "stabilityai/stable-diffusion-xl-base-1.0"
original_config_file = os.path.join(CURRENT_DIR, "models", "sd_xl_base.yaml")
if dif_version_int >= 28:
pipe = StableDiffusionXLPipeline.from_single_file(
ckpt_path, original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
ckpt_path, config=model_config,original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
else:
pipe = StableDiffusionXLPipeline.from_single_file(
ckpt_path, original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
ckpt_path,config=model_config, original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
info = "sdxl"
else:
model_config = "Lykon/dreamshaper-8"
original_config_file = os.path.join(folder_paths.models_dir, "configs", "v1-inference.yaml")
if dif_version_int >= 28:
pipe = StableDiffusionPipeline.from_single_file(
ckpt_path, original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
ckpt_path,config=model_config, original_config=original_config_file, torch_dtype=torch.float16).to("cuda")
else:
pipe = StableDiffusionPipeline.from_single_file(
ckpt_path, original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
ckpt_path, config=model_config,original_config_file=original_config_file, torch_dtype=torch.float16).to("cuda")
info = "sd15"
if vae_id != "":
pipe.vae = AutoencoderKL.from_pretrained(vae_id, torch_dtype=torch.float16).to("cuda")