Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use gemengmeng/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gemengmeng/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("gemengmeng/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-1500.bin from gemengmeng/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 4 kB
-
https://huggingface.co/gemengmeng/textual_inversion_cat/resolve/main/learned_embeds-steps-1500.bin
- Command line
-
hf download hf://gemengmeng/textual_inversion_cat/learned_embeds-steps-1500.bin
-
curl -L -o learned_embeds-steps-1500.bin https://huggingface.co/gemengmeng/textual_inversion_cat/resolve/main/learned_embeds-steps-1500.bin
4 kB
- Xet hash:
- ba2a0d5f6bdff9cd435c483be154c13e8c3faa133fbe0ffa4daf53a468f22852
- Size of remote file:
- 4 kB
- SHA256:
- cd1a14d636a5ab0310928786af7e3f66f74f4856bb14b9b9875c961842687b54
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