Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
ultra-realistic
stable-diffusion
distilled-model
knowledge-distillation
Instructions to use segmind/Segmind-Vega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/Segmind-Vega 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/Segmind-Vega", 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
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README.md
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## Speed Comparison (Segmind-Vega vs SD-1.5 vs SDXL)
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(Note: All times are reported with the respective tiny-VAE!)
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## Parameters Comparison (Segmind-Vega vs SD-1.5 vs SDXL)
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## Speed Comparison (Segmind-Vega vs SD-1.5 vs SDXL)
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The tests were conducted on an A100 80GB GPU.
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(Note: All times are reported with the respective tiny-VAE!)
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## Parameters Comparison (Segmind-Vega vs SD-1.5 vs SDXL)
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