Instructions to use JeffreyHuLLaMA2/DogDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JeffreyHuLLaMA2/DogDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JeffreyHuLLaMA2/DogDiffusion", 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 ·
209896b
1
Parent(s): 0b94c68
Epoch 0
Browse files- DogDiffusion/logs/train_example/events.out.tfevents.1701581166.ip-10-0-0-145.2537.0 +3 -0
- DogDiffusion/samples/0000.png +0 -0
- logs/train_example/events.out.tfevents.1701582025.ip-10-0-0-145.2580.0 +3 -0
- logs/train_example/events.out.tfevents.1701582229.ip-10-0-0-145.2617.0 +3 -0
- samples/0000.png +0 -0
DogDiffusion/logs/train_example/events.out.tfevents.1701581166.ip-10-0-0-145.2537.0
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