Instructions to use second-state/stable-diffusion-3.5-large-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-large-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-large-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:
- 637897e5535bd8f15b1bb0d10af5cb7ef5cf56c86839ea735324f27c18465f55
- Size of remote file:
- 6.11 GB
- SHA256:
- 811f030afe9c325855aa54bcecc3516d1764d44ccafde7ae8ade75bc19ed2eb5
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