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
Add generated example
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by rohitrao - opened
- README.md +5 -0
- images/example_hi4ypn8qf.png +0 -0
README.md
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- zzliang/GRIT
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- wanng/midjourney-v5-202304-clean
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library_name: diffusers
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---
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# Segmind Stable Diffusion 1B (SSD-1B) Model Card
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- zzliang/GRIT
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- wanng/midjourney-v5-202304-clean
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library_name: diffusers
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widget:
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- text: a cute puppy running on the road
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output:
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url: images/example_hi4ypn8qf.png
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---
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# Segmind Stable Diffusion 1B (SSD-1B) Model Card
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images/example_hi4ypn8qf.png
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