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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 280cc2da34762183f2e6a314753ac612b398bb086d3fee89c59a27ce64b9e95b
- Size of remote file:
- 3.44 GB
- SHA256:
- cb5ef9aebb77cf603010f0072fa3265928af1235585403687c98616484f8490d
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