Instructions to use BlithFok/ddpm-finetuned-model-for-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlithFok/ddpm-finetuned-model-for-testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BlithFok/ddpm-finetuned-model-for-testing", 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
Commit History
-
Upload README.md with huggingface_hub
Verified signature141903f -
Upload model_index.json with huggingface_hub
Verified signaturea46efe6 -
Upload folder using huggingface_hub
Verified signatureb49d1f9 -
Upload folder using huggingface_hub
Verified signature093cfc0 -
initial commit
Verified signature3682d8b