Instructions to use mpatel57/backpack_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mpatel57/backpack_dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mpatel57/backpack_dog", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/scheduler.bin from mpatel57/backpack_dog: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/mpatel57/backpack_dog/resolve/main/checkpoint-100/scheduler.bin
- Command line
-
hf download hf://mpatel57/backpack_dog/checkpoint-100/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/mpatel57/backpack_dog/resolve/main/checkpoint-100/scheduler.bin
1 kB
- Xet hash:
- 99f513190546d0fd4d7bab8c1300230c2eb5fcfbcf329d854779be09704d8113
- Size of remote file:
- 1 kB
- SHA256:
- d860912d4bc0403250fef9b886e201db28aaa6bd91f9fa6f113746e3ff460a2c
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