Instructions to use mlgawd/dev_nsf4_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mlgawd/dev_nsf4_3 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_3", 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:
- 0b358abefab7fe8abf83ee6d1062143ca0112b7fd5d7ddf54f33ea747b240fb5
- Size of remote file:
- 6.69 GB
- SHA256:
- be3ef4eb3ac16974b6ca94e919214c3d467a941fa8a16cef08a4fe14a8ee75ed
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