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:
- c835132a36e48928a1c4c2613fc14cf0a39e175a6a8a3a54c18a3b6f232e81a5
- Size of remote file:
- 3.36 GB
- SHA256:
- 8f06ed63ac10ed1835b694cb6c97f64452ad53d5e0f6be5ff1d80ca3a592315c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.