Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use TARA6/cat_statue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TARA6/cat_statue with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("TARA6/cat_statue") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from TARA6/cat_statue: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/TARA6/cat_statue/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://TARA6/cat_statue/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TARA6/cat_statue/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- 641aabd87daf5714ffcae471e2d497e88b374f518201020a1b68a9d69d3e10af
- Size of remote file:
- 304 MB
- SHA256:
- 1fd5704d99122b8558773e8b003656f84481b4f03e15185ae501486b3dca2eb0
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