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 Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -60,6 +60,7 @@ prompt = "An astronaut riding a green horse" # Your prompt here
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neg_prompt = "ugly, blurry, poor quality" # Negative prompt here
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image = pipe(prompt=prompt, negative_prompt=neg_prompt).images[0]
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```
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### Please do use negative prompting, and a CFG around 9.0 for the best quality!
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### Model Description
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neg_prompt = "ugly, blurry, poor quality" # Negative prompt here
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image = pipe(prompt=prompt, negative_prompt=neg_prompt).images[0]
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```
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### Update: Our model should now be usable in ComfyUI.
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### Please do use negative prompting, and a CFG around 9.0 for the best quality!
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### Model Description
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