Instructions to use Mayank022/Finetuning-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mayank022/Finetuning-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mayank022/Finetuning-Diffusion", 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:
- 4b8e68cc5ccd7a51dbb11b1b402ad3a81a2f4f1f0a7e1db55827af68d5404f9b
- Size of remote file:
- 455 MB
- SHA256:
- 7ce6981b7014c01b688e916e9a8a9791044efcd8dc81b4d8d6afe61cc2792716
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