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
| #!/usr/bin/env python3 | |
| from diffusers import DiffusionPipeline | |
| import torch | |
| import os | |
| import sys | |
| local_path = sys.argv[1] | |
| local_path = os.path.abspath(local_path) | |
| prompts = ["astronaut on mars", "Barack Obama smiling with a big grin"] | |
| pipe = DiffusionPipeline.from_pretrained(local_path, torch_dtype=torch.float16) | |
| pipe = pipe.to("cuda") | |
| for prompt in prompts: | |
| image = pipe(prompt).images[0] | |
| image.save(f"/home/patrick_huggingface_co/images/a_{'_'.join(prompt.split())}.png") | |