Instructions to use mlgawd/dev_nsf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mlgawd/dev_nsf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mlgawd/dev_nsf4", 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:
- de8946e5f52156f88a52daa12b76738ec62ff81b28421980abf859d63000fcef
- Size of remote file:
- 6.7 GB
- SHA256:
- 5082a2a2276b83230f1fcee3078b20027c6eaede0d4e76ad75cfe20816a0e2e4
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