Instructions to use MHesho/pachuto-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MHesho/pachuto-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("MHesho/pachuto-diffusion", torch_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:
- 0746f0c5d395a04d66adb1ab0788eeaedfd25e0d9c385da33fa1f7b924de44f7
- Size of remote file:
- 492 MB
- SHA256:
- e5254f56484a3539d5eb80c7292d9cc9262d459cc843cb3af77ec5c4680073c7
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