Instructions to use Paresh/stable-diffusion-2-1-ps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Paresh/stable-diffusion-2-1-ps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Paresh/stable-diffusion-2-1-ps", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0d21ad63702974d380835acdc1a33e5ac89be1725e87084deb92ea694637a6d6
- Size of remote file:
- 681 MB
- SHA256:
- 7322cdb38cf05207eb5c3ff2ed175b06c879560b88124431c0ed3206901dc612
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