Instructions to use Fredithefish/NewDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fredithefish/NewDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fredithefish/NewDiff", 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:
- 1bdb4e61e50b0aaa87c679f869f8849440e955a9e79267f2941e808774399643
- Size of remote file:
- 521 kB
- SHA256:
- 1cea672e305609ae944d639ab3ceede7ec907f9338cfe973a498ba9d7e903e41
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