Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/bear_plushie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/bear_plushie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KCS97/bear_plushie", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks plushie" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-800/optimizer.bin from KCS97/bear_plushie: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/KCS97/bear_plushie/resolve/main/checkpoint-800/optimizer.bin
- Command line
-
hf download hf://KCS97/bear_plushie/checkpoint-800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/KCS97/bear_plushie/resolve/main/checkpoint-800/optimizer.bin
6.88 GB
- Xet hash:
- cfb19a4d537fa692e2c5c4516c638f12b48d3cf4a91b42760a6786da8bd84534
- Size of remote file:
- 6.88 GB
- SHA256:
- b362d26822c6a22b317c99694ac1d2151b41c65b21f9397c4732f3fd32f14ead
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.