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:
- dec0b8715736f8c1c6ee405f500b1afd8aba44280ac7f4dabd64e2b42e4451d0
- Size of remote file:
- 2.13 GB
- SHA256:
- 79d93b9c375b2ef88a1d03b48d337c7514e990a12bf2913b12cc5331d69628de
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