cache_dir=args.cache_dir, split="train", ) else: dataset = load_dataset( "imagefolder", data_dir=args.train_data_dir, cache_dir=args.cache_dir, split="train") # See more about loading custom images at # https://huggingface.co/docs/datasets/v2.4.0/en/image_load#imagefolder 有了数据...
cache_dir=cache_dir, force_download=force_download, )# 将模型缓存路径的父目录加入 kwargskwargs["model_save_dir"] = Path(model_cache_path).parent# 将下载的最新模型名称加入 kwargskwargs["latest_model_name"] = Path(model_cache_path).name# 从缓存路径加载模型model = OnnxRuntimeModel.load_...
使用from_pretrained()下载的模型,默认会缓存到C:\Users\Administrator\.cache\huggingface\diffusers下,由from_pretrained中如下代码控制: cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE) ==> DIFFUSERS_CACHE = default_cache_path ==> hf_cache_home = os.path.expanduser( os.getenv("HF_HOME", o...
AI代码解释 fromdiffusersimport(StableDiffusionPipeline,PNDMScheduler,LMSDiscreteScheduler,DDIMScheduler,EulerDiscreteScheduler,EulerAncestralDiscreteScheduler,DPMSolverMultistepScheduler,UniPCMultistepScheduler,)defmake_scheduler(name,config):return{"PNDM":PNDMScheduler.from_config(config),"KLMS":LMSDiscreteScheduler...
如果希望下载一次后使用本地缓存,则可以加入cache_dir参数。如下示例: 代码语言:python 代码运行次数:0 运行 AI代码解释 importtorchfromdiffusersimportStableDiffusionPipeline pipe=StableDiffusionPipeline.from_pretrained("emilianJR/chilloutmix_NiPrunedFp32Fix",torch_dtype=torch.float16,safety_checker=None,cache_...
args.train_data_dir, cache_dir=args.cache_dir, ) # See more about loading custom images at # https://huggingface.co/docs/datasets/v2.0.0/en/dataset_script 参考:csdn 文章 之后就可以愉快地训练了!显存大概占用 20 GB. 勿忘配置一下 accelerate...
cache_dir, data_dir=args.train_data_dir ) else: data_files = {} if args.train_data_dir is not None: data_files["train"] = os.path.join(args.train_data_dir, "**") dataset = load_dataset( "imagefolder", data_files=data_files, cache_dir=args.cache_dir, ) # See more about...
export INSTANCE_DIR="dog"export OUTPUT_DIR="dreambooth-sd3-lora"accelerate launch train_dreambooth_lora_sd3.py \ --pretrained_model_name_or_path=${MODEL_NAME} \ --instance_data_dir=${INSTANCE_DIR} \ --output_dir=/raid/.cache/${OUTPUT_DIR} \ --mixed_precision="fp16" \ --...
filename=weights_name, 597 subfolder=subfolder, --> 598 cache_dir=cache_dir, 599 ) 600 except HTTPError as err: ~/.data/webide/pip/lib/python3.7/site-packages/ppdiffusers/download_utils.py in ppdiffusers_bos_download(pretrained_model_name_or_path, filename, subfolder, cache_dir) 41 ...
export INSTANCE_DIR="dog" export OUTPUT_DIR="dreambooth-sd3-lora" accelerate launch train_dreambooth_lora_sd3.py \ --pretrained_model_name_or_path=${MODEL_NAME} \ --instance_data_dir=${INSTANCE_DIR} \ --output_dir=/raid/.cache/${OUTPUT_DIR} \ ...