Instructions to use Tinsae/grumpy-sd-version2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tinsae/grumpy-sd-version2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tinsae/grumpy-sd-version2-1", 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:
- 662a5dc161d46f8717ec4ef8b4273baef374d6051f901e7c2c419811041f947f
- Size of remote file:
- 3.46 GB
- SHA256:
- 4bf0bbf265544c6e211c265e36e4ea3b6e87a690219a8a832d80cc3d4da60a68
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