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:
- fffe8cfddf1c65d002509d45c37b03326df16c61211745a0f579c250ece8edeb
- Size of remote file:
- 4.24 GB
- SHA256:
- 6805eb3e962d4531a2d9f7eff16aa6f8924ad942b78a06b5b460c3a82bf8694b
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