Instructions to use pruna-test/test-load-tiny-stable-diffusion-pipe-smashed-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pruna-test/test-load-tiny-stable-diffusion-pipe-smashed-pro with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pruna-test/test-load-tiny-stable-diffusion-pipe-smashed-pro", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Pruna AI
How to use pruna-test/test-load-tiny-stable-diffusion-pipe-smashed-pro with Pruna AI:
from pruna import PrunaModel pip install -U diffusers transformers accelerate
from pruna import PrunaModel import torch # switch to "mps" for apple devices pipe = PrunaModel.from_pretrained("pruna-test/test-load-tiny-stable-diffusion-pipe-smashed-pro", 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
- Xet hash:
- 635820c47d9e74fa63974a19d583634bbcba28e404dca4bb89a88aaa7f3c7ad0
- Size of remote file:
- 283 kB
- SHA256:
- 103860291b96610a23d9dda96f6a3c4e6c6dd67e5984a0d5e7c8e62769ac6412
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