Instructions to use Jacklu0831/procreate-diffusion-apple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jacklu0831/procreate-diffusion-apple with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jacklu0831/procreate-diffusion-apple", 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
- Xet hash:
- 335a1b5e03dd1e3c8a505df2b94c06a0253e262c2b54052e9ac886a150089fc6
- Size of remote file:
- 3.44 GB
- SHA256:
- 73906003dc332d55b8e6c37e46eaf59f2506e580345421797264f07a757dacf7
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