From 0c74c201822f0430e82b1d97b32e030a9944baae Mon Sep 17 00:00:00 2001 From: smthemex <138738845+smthemex@users.noreply.github.com> Date: Sun, 11 Aug 2024 09:34:13 +0800 Subject: [PATCH] Update Storydiffusion_node.py diffusers <0.30 --- Storydiffusion_node.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/Storydiffusion_node.py b/Storydiffusion_node.py index 0941601..4afedf5 100644 --- a/Storydiffusion_node.py +++ b/Storydiffusion_node.py @@ -40,11 +40,6 @@ from diffusers import (StableDiffusionXLPipeline, DiffusionPipeline, DDIMSchedul from transformers import CLIPVisionModelWithProjection from transformers import CLIPImageProcessor -from .kolors.pipelines.pipeline_stable_diffusion_xl_chatglm_256 import StableDiffusionXLPipeline as StableDiffusionXLPipelineKolors -from .kolors.models.modeling_chatglm import ChatGLMModel -from .kolors.models.tokenization_chatglm import ChatGLMTokenizer -from .kolors.models.unet_2d_condition import UNet2DConditionModel as UNet2DConditionModelkolor -from .kolors.pipelines.pipeline_stable_diffusion_xl_chatglm_256_ipadapter import StableDiffusionXLPipeline as StableDiffusionXLPipelinekoloripadapter from .msdiffusion.models.projection import Resampler from .msdiffusion.models.model import MSAdapter from .msdiffusion.utils import get_phrase_idx, get_eot_idx @@ -1436,6 +1431,11 @@ class Storydiffusion_Model_Loader: ) set_attention_processor(pipe.unet, id_length, is_ipadapter=False) elif use_kolor: + from .kolors.pipelines.pipeline_stable_diffusion_xl_chatglm_256 import StableDiffusionXLPipeline as StableDiffusionXLPipelineKolors + from .kolors.models.modeling_chatglm import ChatGLMModel + from .kolors.models.tokenization_chatglm import ChatGLMTokenizer + from .kolors.models.unet_2d_condition import UNet2DConditionModel as UNet2DConditionModelkolor + from .kolors.pipelines.pipeline_stable_diffusion_xl_chatglm_256_ipadapter import StableDiffusionXLPipeline as StableDiffusionXLPipelinekoloripadapter text_encoder = ChatGLMModel.from_pretrained( f'{repo_id}/text_encoder',torch_dtype=torch.float16).half() vae = AutoencoderKL.from_pretrained(f"{repo_id}/vae", revision=None).half()