Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Jade1211/textual_inversion_pond with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jade1211/textual_inversion_pond 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("Jade1211/textual_inversion_pond") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Jade1211/textual_inversion_pond: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Jade1211/textual_inversion_pond/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Jade1211/textual_inversion_pond/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jade1211/textual_inversion_pond/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 57b21fa310ce5093d9c4a40c82e2715bd08a9a9afa17ae5b0a9e1bfb82e78176
- Size of remote file:
- 492 MB
- SHA256:
- c7d89b44ceed6276a3bd0d87e4e3e5bee552adb09a0bfa0725bd10bfb930a3cd
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