Instructions to use xttbb/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xttbb/path-to-save-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xttbb/path-to-save-model", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-250/optimizer.bin from xttbb/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 305 MB
-
https://huggingface.co/xttbb/path-to-save-model/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://xttbb/path-to-save-model/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/xttbb/path-to-save-model/resolve/main/checkpoint-250/optimizer.bin
305 MB
- Xet hash:
- d92e2a548757cc23486d1fd149a210acca81fd6ad9b580d0168e0709ec2378b4
- Size of remote file:
- 305 MB
- SHA256:
- e329e67a3a3258d670ade40bccb3fc1e7c916eca35caa4f1fe0350caac2080f4
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