Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("dxli/cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from dxli/cat: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/dxli/cat/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://dxli/cat/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dxli/cat/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- f224e7528d6be019de604a5962dc90384f57658b29fa158be1a8c40a6cc95b53
- Size of remote file:
- 304 MB
- SHA256:
- 23366a8fce04b0e5907cf5b56c7b47c65a5994d24f398f030ad2ba352479e5f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.