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", 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:
- ed3720537573ba95fe2f52ebadc2c0862a39c294295860a2b13f9f28b8a763e6
- Size of remote file:
- 2.13 GB
- SHA256:
- b8a1d8d3a75aa21bc1058c6d9c082b06c9abb18d5a28e79ac9a518c57a56cccf
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