Instructions to use jinofcoolnes/corporate_memphis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jinofcoolnes/corporate_memphis with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jinofcoolnes/corporate_memphis", 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
Commit History
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chore: upload necessary boilerplate files for inference API (#4)
- chore: upload necessary boilerplate files for inference API (a260be75eaf4e1651f15b608844568e722d04cf8) Co-authored-by: Israel Gonzalez-Brooks <israelgonzalezb@users.noreply.huggingface.co>c46ed90