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
File size: 370 Bytes
d1f1095 | 1 2 3 4 5 6 7 8 9 10 11 | #!/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)
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