Instructions to use xFutureTechx/2024_Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/2024_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/2024_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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 95809ce1d9a388d67458dce3152048e5887e76a686822865abbabc5cad493b59
- Size of remote file:
- 2.13 GB
- SHA256:
- 2482992776324df1fe1fc180d658de1ccfc790c2f1a40a28a3245e6c47e64d07
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