Instructions to use Manojb/stable-diffusion-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Manojb/stable-diffusion-2-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Manojb/stable-diffusion-2-base", 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:
- 9fbba2e30445efce468e0938cf2dce62c583c6845f2142d09de42df541a07e84
- Size of remote file:
- 5.21 GB
- SHA256:
- ab800444cdd1e6ade2236874dd28db9608d1d740aaf6087c7273884140612993
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