Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hangeol/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hangeol/textual_inversion_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("hangeol/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-500.bin from hangeol/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 4 kB
-
https://huggingface.co/hangeol/textual_inversion_cat/resolve/main/learned_embeds-steps-500.bin
- Command line
-
hf download hf://hangeol/textual_inversion_cat/learned_embeds-steps-500.bin
-
curl -L -o learned_embeds-steps-500.bin https://huggingface.co/hangeol/textual_inversion_cat/resolve/main/learned_embeds-steps-500.bin
4 kB
- Xet hash:
- 966a7f3289db62f0de9eb0d6ffa4ee1bd8d9170d5f72f5a7536ef720c304e72e
- Size of remote file:
- 4 kB
- SHA256:
- e3f8420286ae87eca251d46c8d09cb833bd9aba74ba00a11bb9afd29e9c74f1f
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