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:
- 1b3aec44ba8e08d555c8ccbcedf894e97a81c63eaf475804202be828585eb4dc
- Size of remote file:
- 5.67 GB
- SHA256:
- 191c101a23c469b83308fb20a683936ebf5a6d5aede7cf4c8263922f2f3d7caa
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