Instructions to use CompVis/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
OSError: /CompVis/stable-diffusion-v1-4/ does not appear to have a file named config.json.
I downloaded the model file to my local directory and loaded it from there, throwing this error“ /CompVis/stable-diffusion-v1-4-fp16/ does not appear to have a file named config.json”. My transformers library is the latest version and my code is as follows:
HfFolder.save_token("xxxx")
model_path = "/xxx/"
config = AutoConfig.from_pretrained(model_path)
pipe = StableDiffusionPipeline.from_pretrained(model_path, use_auth_token=True,config=config)
Can anyone tell me how to solve this issue?
@Kayell Hey! I have the same issue. I have researched the issue online and someone said it can be solved by updating the transformers to the latest version. But I have the version of 4.36.0 and it still happened. Do you solve the question? If you've worked it out, could you please tell me the solution?
Hi, I have solved the issue. The problem is I didn't log in to the huggingface. I use the command huggingface-cli login and the pretrained model can be downloaded successfully.