Instructions to use mastergruffly/temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mastergruffly/temp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mastergruffly/temp", 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:
- 37d72b90c9edcebb1e68084321c00a23dc8b064af56a95f639139dcc790e2dca
- Size of remote file:
- 246 MB
- SHA256:
- 06e5fb5f9032eca87f58c8e3c09760630063dd650b17f35058a496d4690a8f00
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