Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
image-to-image
Instructions to use rrustom/stable-architecture-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rrustom/stable-architecture-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rrustom/stable-architecture-diffusers", 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
Download .DS_Store from rrustom/stable-architecture-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 6.15 kB
-
https://huggingface.co/rrustom/stable-architecture-diffusers/resolve/main/.DS_Store
- Command line
-
hf download hf://rrustom/stable-architecture-diffusers/.DS_Store
-
curl -L -o .DS_Store https://huggingface.co/rrustom/stable-architecture-diffusers/resolve/main/.DS_Store
6.15 kB
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