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
FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP / samples /DPMSolverMultistepScheduler_dpmsolverPP_Eval_0040.png
Download samples/DPMSolverMultistepScheduler_dpmsolverPP_Eval_0040.png from KeepNoob/FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP: direct link, hf CLI and curl.
- Browser
- Download file 92.9 kB
-
https://huggingface.co/KeepNoob/FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP/resolve/main/samples/DPMSolverMultistepScheduler_dpmsolverPP_Eval_0040.png
- Command line
-
hf download hf://KeepNoob/FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP/samples/DPMSolverMultistepScheduler_dpmsolverPP_Eval_0040.png
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curl -L -o DPMSolverMultistepScheduler_dpmsolverPP_Eval_0040.png https://huggingface.co/KeepNoob/FYP_MNIST_DPMSolverMultistepScheduler_dpmsolverPP/resolve/main/samples/DPMSolverMultistepScheduler_dpmsolverPP_Eval_0040.png
92.9 kB
