Instructions to use aipicasso/cool-japan-diffusion-2-1-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aipicasso/cool-japan-diffusion-2-1-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aipicasso/cool-japan-diffusion-2-1-2", 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:
- 7e57f3ec984f230a6d14ddd6c89956eb9abf79eac51dfc1c061588daff7be83f
- Size of remote file:
- 3.46 GB
- SHA256:
- 03c0b793c66105d6d6b756dd3cc4c72b9eb351a93d0400e04aa92d28fed5a129
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