Instructions to use ModelsLab/FluxDev-HyperSD-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/FluxDev-HyperSD-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/FluxDev-HyperSD-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:
- f2325a5df7fc1e099ac1d8f44a194edd22d6ab285651054d09e70a3d8013695b
- Size of remote file:
- 6.7 GB
- SHA256:
- b2d35379e055df90f71900dc12be87731ab6b09b6e4640d8b380eec2ef36ce10
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