Instructions to use Z3R069/kuru-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Z3R069/kuru-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("Z3R069/kuru-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:
- 9a8782c8e11c0d885f06119b8bd3cfbaba997c07530cc0cca01ac4cafc250fc9
- Size of remote file:
- 492 MB
- SHA256:
- 0c0044c5f37171fe7066df638f7b5df22afd2885dc327b9016fb105013782510
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