Instructions to use univzy/samdoesarts-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use univzy/samdoesarts-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("univzy/samdoesarts-v1", 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:
- 182d0f147e87f8383f3802f33165af9d9ec4993223cef79eeb37ada0d4ea15e5
- Size of remote file:
- 335 MB
- SHA256:
- 6723bacd3c60b11a2b4e6007338a54c6964c210116c3ccecb3bfc80e218afc8f
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