Instructions to use KeepNoob/FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KeepNoob/FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KeepNoob/FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP", 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:
- 324d6f2ea7e0d2c4ddb4e4de5778c3f5d01a3747374f3f06b9e185ae19d61f97
- Size of remote file:
- 246 MB
- SHA256:
- ab9870faecffdc0a453f69360e2f3f3b1a9dfcebcf395809e839a7bb759795fc
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