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:
- c1e6d9c619108a6ab1cb78a3fc5fcc0d31a8d168efb1a7ee71ea9924de512875
- Size of remote file:
- 4.34 GB
- SHA256:
- 25d0b8d5947005252e2fabc0007e6806fe283c0bb5eeb9e56633b05a40f7c5af
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