Diffusers
English
stable-diffusion
stable-diffusion-diffusers
inpainting
art
artistic
anime
absolute-realism
Instructions to use diffusers/tools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/tools with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/tools", 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
File size: 469 Bytes
912b6df | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | #!/usr/bin/env python3
from huggingface_hub import HfApi
import sys
api = HfApi()
folder = sys.argv[1]
repo = sys.argv[2]
# Upload all the content from the local folder to your remote Space.
# By default, files are uploaded at the root of the repo
api.upload_folder(
folder_path=folder,
repo_id=repo,
path_in_repo="./",
delete_patterns="*.git*", # Delete all remote text files before
create_pr=True,
commit_message="Add diffusers weights"
)
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