Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
ultra-realistic
stable-diffusion
distilled-model
knowledge-distillation
Instructions to use segmind/SSD-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/SSD-1B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B", 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
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -24,7 +24,7 @@ library_name: diffusers
|
|
| 24 |
|
| 25 |
## Demo
|
| 26 |
|
| 27 |
-
Try out the model at [Segmind SSD-1B](https://www.segmind.com/models/ssd-1b) for ⚡ fastest inference. You can also try it on [🤗 Spaces](https://huggingface.co/spaces/segmind/Segmind-Stable-Diffusion)
|
| 28 |
|
| 29 |
## Model Description
|
| 30 |
|
|
|
|
| 24 |
|
| 25 |
## Demo
|
| 26 |
|
| 27 |
+
Try out the model at [Segmind SSD-1B](https://www.segmind.com/models/ssd-1b?utm_source=hf) for ⚡ fastest inference. You can also try it on [🤗 Spaces](https://huggingface.co/spaces/segmind/Segmind-Stable-Diffusion)
|
| 28 |
|
| 29 |
## Model Description
|
| 30 |
|