Instructions to use hf-internal-testing/stable-diffusion-all-variants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/stable-diffusion-all-variants with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/stable-diffusion-all-variants", 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
- Local Apps
- Draw Things
- DiffusionBee
| #!/usr/bin/env python3 | |
| from diffusers import DiffusionPipeline | |
| from time import time | |
| for y in [True, False]: | |
| for v in ["no_ema", "fp16", None]: | |
| start_time = time() | |
| p = DiffusionPipeline.from_pretrained("huggingface/the-no-branch-repo", variant=v) | |
| # p.save_pretrained("./", safe_serialization=y, variant=v) | |
| print(time() - start_time) | |