Instructions to use 0x7o/lofi-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 0x7o/lofi-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("0x7o/lofi-diffusion", 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
- Xet hash:
- ab4f4a5adf89e3f132eb62f310aca0aba317aa352186a64027ee54921f790f06
- Size of remote file:
- 7.01 GB
- SHA256:
- b4691298141fcf85332bb80601ac4dfca3ba966230cc8e4425f7ef12bc4c1646
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