Diffusers
English
stable-diffusion
stable-diffusion-diffusers
inpainting
art
artistic
anime
absolute-realism
Instructions to use diffusers/tools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/tools with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/tools", 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:
- 22c1f10dfbc42025229ba41196f8f09be1141a2f663046e21ff0064e9fd24247
- Size of remote file:
- 237 kB
- SHA256:
- aa9441dc014d5e86567c5ef165e10b50d2a7b3a68d90686d0cd1006792adf334
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