Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use ashnrk/textual_inversion_perm_crop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashnrk/textual_inversion_perm_crop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("ashnrk/textual_inversion_perm_crop") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds.bin from ashnrk/textual_inversion_perm_crop: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/ashnrk/textual_inversion_perm_crop/resolve/main/learned_embeds.bin
- Command line
-
hf download hf://ashnrk/textual_inversion_perm_crop/learned_embeds.bin
-
curl -L -o learned_embeds.bin https://huggingface.co/ashnrk/textual_inversion_perm_crop/resolve/main/learned_embeds.bin
4.86 kB
- Xet hash:
- 2367d46166a893f59d7500f86f1461cf53640bc04f0b756100aba3c34ece5c99
- Size of remote file:
- 4.86 kB
- SHA256:
- 63334efc8fe67431aa108500c7a716554c7d754b893f295c74b59e419909a390
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.