Instructions to use EnD-Diffusers/BigFizzChibiMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/BigFizzChibiMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/BigFizzChibiMix", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 602bfe2a4dd90ba15cdde1fa7548b5c55d4ef20b8aeda929eacf97d0d5bfea2e
- Size of remote file:
- 3.44 GB
- SHA256:
- a364228f6c1045435f2c5b5d69098eab9d5e93c84d5318d5d89dfa747921f710
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.