Instructions to use AISkywalker/DDPM_LDM_DDPM_VARIANCE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AISkywalker/DDPM_LDM_DDPM_VARIANCE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AISkywalker/DDPM_LDM_DDPM_VARIANCE", torch_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
Ctrl+K
- Augmented_Dataset_4_2
- Augmented_Dataset_ddpm_variance_V2
- Augmented_Dataset_vdm_2
- Base_Dataset_2
- Final_Analysis_Report_4_2
- Final_Analysis_Report_ddpm_variance_V2
- Final_Analysis_Report_vdm_2
- ddpm-udder-results6
- ddpm_variance_22
- extra_images5000_added_ddpm_vdm_variance
- label_test
- ldm_udder_v22
- mixed_data
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