Instructions to use xFutureTechx/Jan2024-Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/Jan2024-Backups with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/Jan2024-Backups", torch_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
- Xet hash:
- d2339d86c98e3f7f0196be27d8a884c687675c6bf6e7c1ff65b4a9d010eff12b
- Size of remote file:
- 76.9 MB
- SHA256:
- 6b219e495b26a3b6ef1a6c2d0d018160b59021e743c8d45bd1054eea80af79af
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