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-500/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-500/optimizer.bin
- Command line
-
hf download hf://SidXXD/dog_4_initialize_specific/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/SidXXD/dog_4_initialize_specific/resolve/main/checkpoint-500/optimizer.bin
457 MB
- Xet hash:
- 30d98075bc15517bcb440e66afcc80bf2fcacf822527440459df7b104065703e
- Size of remote file:
- 457 MB
- SHA256:
- e2907eab6648654bee280efa80d037112d48b32214f85fc0aecac101bc3267a4
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