Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion_32 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("anic87/textual_inversion_32") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-1500.bin from anic87/textual_inversion_32: direct link, hf CLI and curl.
- Browser
- Download file 99.1 kB
-
https://huggingface.co/anic87/textual_inversion_32/resolve/main/learned_embeds-steps-1500.bin
- Command line
-
hf download hf://anic87/textual_inversion_32/learned_embeds-steps-1500.bin
-
curl -L -o learned_embeds-steps-1500.bin https://huggingface.co/anic87/textual_inversion_32/resolve/main/learned_embeds-steps-1500.bin
99.1 kB
- Xet hash:
- e1ff73a512ae297f30eb0a9b8452a5677648a5fd994c5c54c54141c5cb7f4c7e
- Size of remote file:
- 99.1 kB
- SHA256:
- 5326a109cd158ee031f3772d65efec1a4d899c4a53df3b3943226b40a7c94d99
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