Instructions to use DDUF/stable-diffusion-3.5-large-DDUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DDUF/stable-diffusion-3.5-large-DDUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DDUF/stable-diffusion-3.5-large-DDUF", 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
- Xet hash:
- 7c1307d176afc1479d4263bd55b9a98639ce636b89b4f7c9382c05e0ff6f55bf
- Size of remote file:
- 27.6 GB
- SHA256:
- 02e7e45140ced4748aa5fba8685aa19ada0d450600406908af0c1cc9d8f83022
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