Instructions to use ModelsLab/shuttle-3-diffusion-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/shuttle-3-diffusion-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/shuttle-3-diffusion-nf4", 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
- Xet hash:
- f92fb4c337d2eb3ef135a0f860f564ddd6f270f315aa683a6a75b7c242eceb71
- Size of remote file:
- 6.69 GB
- SHA256:
- 4f65dd2470c29f82e37e7dd017ade39b9614b6686e678bdcb7725bc079088258
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