from diffusers import UNet2DModel import torch # load model repo_id = "google/ddpm-cat-256" model = UNet2DModel.from_pretrained(repo_id, use_safetensors=True) model.config # noise as input torch.manual_seed(0)
AI代码解释 String modelPath="CompVis/stable-diffusion-v1-4";DiffusionPipeline pipeline=DiffusionPipeline.from_pretrained(modelPath,device="cuda");pipeline.enable_attention_slicing();// 降显存pipeline.set_use_fp16(true);// 使用16位精度 ✅Tips: 模型第一次加载可能很慢(会自动下载) 记得设置local_...
I want to directly load a stablediffusion base safetensors model locally , but I found that it seems to only support the repository format. Is there any way to make it load the local model? Reproduction pipeline = DiffusionPipeline.from_pretrained("/onedif/models/sd/chilloutmix_NiPrunedFp32...
config = UNet2DModel.load_config(args.model_config_name_or_path) model = UNet2DModel.from_config(config) 这份脚本还帮我们写好了维护EMA(指数移动平均)模型的功能。EMA 模型用于存储模型可学习的参数的局部平均值。有时 EMA 模型的效果会比原模型要好。 # Create EMA for the model. if args.use_ema...
(model_index,"r")asf:# 从 JSON 中提取管道类名称pipeline_class_name = json.load(f)["_class_name"]# 动态导入对应的管道类pipeline_class =getattr(import_module("diffusers"), pipeline_class_name)# 记录导入的管道类名称self.logger.info(f"Pipeline class imported:{pipeline_class_name}.")# 加载...
Gets the correct alpha name for the Diffusers model. """# 检查 lora_name_alpha 是否以 "lora_unet_" 开头iflora_name_alpha.startswith("lora_unet_"):# 设置前缀为 "unet."prefix ="unet."# 检查 lora_name_alpha 是否以 "lora_te_" 或 "lora_te1_" 开头eliflora_name_alpha.startswith(("...
print('Output shape:', model(sample_image, timestep=0).sample.shape) Output shape: torch.Size([1, 3, 128, 128]) 注意到这个模型模型不仅接受图像,还需要当前的时间步信息。这个时间步信息是通过正弦位置编码转换为模型可以理解的形式的,这和 Transformer 模型中常用的方法类似。
You can also simply download the model folder and pass the path to the local folder to theStableDiffusionPipeline. git lfs install git clone https://huggingface.co/runwayml/stable-diffusion-v1-5 Assuming the folder is stored locally under./stable-diffusion-v1-5, you can run stable diffusion...
lora_path = "D:/ai/models/sdxl/lora/sdxl_glass.safetensors" pipe.load_lora_weights(lora_path,from_diffusers=True) 四、启动绘画服务 在调用绘画服务之前,请按照以下步骤进行操作: ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 新建打开终端 cmd 打开您的命令行终端(...
‘runwayml/stable-diffusion-v1-5’. If you were trying to load it from ‘https://huggingface.co/models ‘, make sure you don’t have a local directory with the same name. Otherwise, make sure ‘runwayml/stable-diffusion-v1-5’ is the correct path to a directory containing a model_...