Instructions to use SidXXD/dog_4_initialize_specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/dog_4_initialize_specific with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/dog_4_initialize_specific", dtype=torch.bfloat16, device_map="cuda") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from SidXXD/dog_4_initialize_specific: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/SidXXD/dog_4_initialize_specific/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://SidXXD/dog_4_initialize_specific/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/SidXXD/dog_4_initialize_specific/resolve/main/checkpoint-1000/optimizer.bin
457 MB
- Xet hash:
- 88344b4defd54afd5da9b6d8f16793f4ce7e02f895fe12f9c6a670e1696800a1
- Size of remote file:
- 457 MB
- SHA256:
- 45eab6518f2ffbd185db81edfac0f576409eacb7be2e2e3b18c139c0a9a141be
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