huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'models/StableDiffusion/stable-diffusion-v1-5'. Use `repo_type` argument if needed. about animatediff HOT 13 CLOSED

Try setting "parser.add_argument("--pretrained_model_path", type=str, default="models/StableDiffusion/stable-diffusion-v1-5.safetensors",) " default path to "models/StableDiffusion". It should solve your problem.

from animatediff.

models/StableDiffusion worked for me. it resolved all model path issues, the other recommendations didn't work. thanks aartykov

Error caused by path mismatch，
in code ： parser.add_argument("--pretrained_model_path", type=str, default="models/StableDiffusion/stable-diffusion-v1-5",)

but in file： StableDiffusion name
Need to specify the correct path
like this

from animatediff.

Configured all afternoon and still can't solve the problem, is this something you don't want people to use?

from animatediff.

same problem

from animatediff.

models/StableDiffusion worked for me. it resolved all model path issues, the other recommendations didn't work. thanks aartykov

from animatediff.

错误原因是：手动下的配置文件浏览器会自动修改名字（添加前缀），如tokenizer文件夹中的vocab.json被修改为“tokenizer_vocab.json”。（这个前缀就是所在文件夹的名字）
解决办法：手动修改回去就可以了。亲测可用。
官方代码没有问题的，不用修改。

from animatediff.

其它路径这样子，修写。在win10下面。

>>> create validation pipeline >>>

       # tokenizer    = CLIPTokenizer.from_pretrained(args.pretrained_model_path, subfolder="tokenizer")
        tokenizer    = CLIPTokenizer.from_pretrained("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\tokenizer\\")
       # text_encoder = CLIPTextModel.from_pretrained(args.pretrained_model_path, subfolder="text_encoder")
        text_encoder = CLIPTextModel.from_pretrained("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\text_encoder\\")
       # vae          = AutoencoderKL.from_pretrained(args.pretrained_model_path, subfolder="vae")
        vae          = AutoencoderKL.from_pretrained("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\vae\\")                  
       # unet         = UNet3DConditionModel.from_pretrained_2d(args.pretrained_model_path, subfolder="unet", unet_additional_kwargs=OmegaConf.to_container(inference_config.unet_additional_kwargs))
        unet         = UNet3DConditionModel.from_pretrained_2d("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\unet\\", unet_additional_kwargs=OmegaConf.to_container(inference_config.unet_additional_kwargs))

from animatediff.

same problem

青龙大佬，改文件animate.py,约是第150行。
parser.add_argument("--pretrained_model_path", type=str, default="models/StableDiffusion/stable-diffusion-v1-5.safetensors",)

from animatediff.

@RexLeeGrey couldn't agree more. I appreciate the work but the instructions are sorely lacking and so many issues without solutions.

I've been at it for 3 days and still can't get it figured out. Running WSL2 and every single time I solve one error there is another.

Haven't had this much trouble with any other app. :/

from animatediff.

Please use the configuration file to generate it directly, do not use Webui.

from animatediff.

其它路径这样子，修写。在win10下面。

>>> create validation pipeline >>>

创建验证管道 >>>

       # tokenizer    = CLIPTokenizer.from_pretrained(args.pretrained_model_path, subfolder="tokenizer")
        tokenizer    = CLIPTokenizer.from_pretrained("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\tokenizer\\")
       # text_encoder = CLIPTextModel.from_pretrained(args.pretrained_model_path, subfolder="text_encoder")
        text_encoder = CLIPTextModel.from_pretrained("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\text_encoder\\")
       # vae          = AutoencoderKL.from_pretrained(args.pretrained_model_path, subfolder="vae")
        vae          = AutoencoderKL.from_pretrained("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\vae\\")                  
       # unet         = UNet3DConditionModel.from_pretrained_2d(args.pretrained_model_path, subfolder="unet", unet_additional_kwargs=OmegaConf.to_container(inference_config.unet_additional_kwargs))
        unet         = UNet3DConditionModel.from_pretrained_2d("G:\\AI\\AnimateDiff\\models\\StableDiffusion\\unet\\", unet_additional_kwargs=OmegaConf.to_container(inference_config.unet_additional_kwargs))

it work，thanks

from animatediff.

这个

it works for me， thanks！！！

from animatediff.

错误原因是：手动下的配置文件浏览器会自动修改名字（添加前缀），如tokenizer文件夹中的vocab.json被修改为“tokenizer_vocab.json”。（这个前缀就是所在文件夹的名字） 解决办法：手动修改回去就可以了。亲测可用。 官方代码没有问题的，不用修改。
it works for me， thanks！！！

from animatediff.