Instructions to use Qilex/VirtualPetDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qilex/VirtualPetDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qilex/VirtualPetDiffusion", 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
Epoch 149
Browse files- .gitattributes +6 -0
- logs/train_example/events.out.tfevents.1659283450.104-171-200-85.38816.4 +2 -2
- samples/.ipynb_checkpoints/0119-checkpoint.png +3 -0
- samples/.ipynb_checkpoints/0129-checkpoint.png +3 -0
- samples/.ipynb_checkpoints/0139-checkpoint.png +3 -0
- samples/0129.png +3 -0
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- samples/0149.png +3 -0
- unet/diffusion_pytorch_model.bin +1 -1
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