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:
- 7bb94c79d647ec4718d3d07b726de90fb736cca9e3e02dbd41e2f018b004e2b8
- Size of remote file:
- 5.67 GB
- SHA256:
- 6b67a463e3c9c4b1640d15d8a7859ae72a6d3cba8748a0bd9b69460f2308dc1b
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