Instructions to use second-state/stable-diffusion-3.5-medium-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use second-state/stable-diffusion-3.5-medium-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("second-state/stable-diffusion-3.5-medium-GGUF", 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:
- 55c1688ca6dd200597cb38a9e692c1d9d54bb3e057fb388a71cb731ead52e018
- Size of remote file:
- 69.4 MB
- SHA256:
- f5ad88ae2ac924eb4ac0298b77afa304b5e6014fc0c4128f0e3df40fdfcc0f8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.