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:
- b8660243a694d883635b91b4bb0bb6d1e5e56f9bdaad21a9690f1a184382f117
- Size of remote file:
- 3.67 GB
- SHA256:
- f5a0653f933c634a3ed408b2a521cae49f4949715fa31ddd0e0ad7d48a12bde1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.