Instructions to use levihsu/OOTDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use levihsu/OOTDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("levihsu/OOTDiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
config error in ec2 p3 instance
Traceback (most recent call last):
File "/home/ubuntu/OOTDiffusion/run/run_ootd.py", line 47, in
model = OOTDiffusionHD(args.gpu_id)
File "/home/ubuntu/OOTDiffusion/ootd/inference_ootd_hd.py", line 37, in init
vae = AutoencoderKL.from_pretrained(
File "/home/ubuntu/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 712, in from_pretrained
config, unused_kwargs, commit_hash = cls.load_config(
File "/home/ubuntu/.local/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 407, in load_config
raise EnvironmentError(
OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like ../checkpoints/ootd is not the path to a directory containing a config.json file.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/diffusers/installation#offline-mode'.