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
- Xet hash:
- 91d9043d1b4d37f2b6159cb642076f86919a51c569abf87d60dd154489e9948f
- Size of remote file:
- 4.47 GB
- SHA256:
- 7cb406ec0662e91570a79f3c4fb8f0ea5325bffe6af5d9382edae838698f72bd
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