Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use btmccarthy15/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use btmccarthy15/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("btmccarthy15/path-to-save-model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from btmccarthy15/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/btmccarthy15/path-to-save-model/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://btmccarthy15/path-to-save-model/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/btmccarthy15/path-to-save-model/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 1267f731ee1dd32a6e2a97840d5ae67ef5d484413f6eb641994a278379f748bb
- Size of remote file:
- 6.88 GB
- SHA256:
- 4ea6444fa70d091db42c35e3d3242def47de0bd0b837bc4a5d75a48cff40f4ac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.