Instructions to use Roshan1162003/fine_tuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Roshan1162003/fine_tuned_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Roshan1162003/fine_tuned_model", 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
- Draw Things
- DiffusionBee
- Xet hash:
- fa12fdb29e61d3c4e06a196ae7e0733d4a11ea87cec278004ca6ea72d15525bf
- Size of remote file:
- 108 kB
- SHA256:
- f9ab7cee2017125a63d9f3db6e4da686e32872c33377a73795f5424b14e5c6c0
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