Instructions to use sd-dreambooth-library/dog-ppt-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/dog-ppt-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("sd-dreambooth-library/dog-ppt-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 Settings
- Draw Things
- DiffusionBee
Initialization for this model?
Hi, great model!
I'm trying to reproduce the results of this model for an upcoming paper. Please could you provide the SD checkpoint that you used for initialization?
Also, could you confirm if it is the same initialization as you use for this other model: https://huggingface.co/sd-dreambooth-library/musecat-ppt-model
Thanks!
Ben
Hi, great model!
I'm trying to reproduce the results of this model for an upcoming paper. Please could you provide the SD checkpoint that you used for initialization?
Also, could you confirm if it is the same initialization as you use for this other model: https://huggingface.co/sd-dreambooth-library/musecat-ppt-model
Thanks!
Ben
Hi, thank you for your interest! I follow the code on Huggingface. You can find the reference in this link: https://huggingface.co/docs/diffusers/v0.16.0/en/training/dreambooth