Text-to-Image
Diffusers
Safetensors
English
smd
diffusion-distillation
few-step
full-transformer
stable-diffusion
stable-diffusion-3.5
image-generation
4-step
Instructions to use zjwfufu/SMD-SD3.5-Medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjwfufu/SMD-SD3.5-Medium with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zjwfufu/SMD-SD3.5-Medium", 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
Download multi/examples/case.json from zjwfufu/SMD-SD3.5-Medium: direct link, hf CLI and curl.
- Browser
- Download file 190 Bytes
-
https://huggingface.co/zjwfufu/SMD-SD3.5-Medium/resolve/main/multi/examples/case.json
- Command line
-
hf download hf://zjwfufu/SMD-SD3.5-Medium/multi/examples/case.json
-
curl -L -o case.json https://huggingface.co/zjwfufu/SMD-SD3.5-Medium/resolve/main/multi/examples/case.json
190 Bytes
| { | |
| "prompt": "Two red apples on a green wooden crate labeled \"SMD\". A rustic kitchen, soft morning sunlight, still life photography.", | |
| "seed": 1234, | |
| "height": 1024, | |
| "width": 1024 | |
| } | |