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:
- d1a1dda93be4957f53189b71aac8f5bdea48f4922d1234fcff0b2bb45b7ca830
- Size of remote file:
- 6.94 GB
- SHA256:
- 73e4e9c181a90e437dd0034517ef110756b2281c5028f1dd4e1a16fcc08617c2
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