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 ·
3eaf044
1
Parent(s): b36a8b7
Epoch 0
Browse files
logs/train_example/events.out.tfevents.1701578504.ip-10-0-0-145.2454.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:774f8191651cd805e8383a59c095ab01aed3b42532c6fbe881df3da2ff28ea3f
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size 163147
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samples/0000.png
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