Instructions to use xFutureTechx/BackMixes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/BackMixes 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/BackMixes", 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:
- 01fd816b02440b3322bad54bb06dbd7509cca994e300910d46a53ff99d3f0020
- Size of remote file:
- 2.57 GB
- SHA256:
- b98f6b127609832e60525e1cfa732e9311574cf8eebb03222f22db9d8ee8b5f0
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