Instructions to use Bugjuhjugjyy/critora-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bugjuhjugjyy/critora-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("Bugjuhjugjyy/critora-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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8d26225b0ff08e4ba74f8f9d460e7efc54cd966e48fe87dcda987a2d7a8d597c
- Size of remote file:
- 492 MB
- SHA256:
- a29bad3790f2c5eeebf7270f23ff727ab6bb14e90cc5a113ea4daa48bf77a0d6
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