Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion_normal 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_normal") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/pytorch_model.bin from anic87/textual_inversion_normal: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/anic87/textual_inversion_normal/resolve/main/checkpoint-1500/pytorch_model.bin
- Command line
-
hf download hf://anic87/textual_inversion_normal/checkpoint-1500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anic87/textual_inversion_normal/resolve/main/checkpoint-1500/pytorch_model.bin
492 MB
- Xet hash:
- 610fcc8e9aaa3c533de398f3e920c5efb263e433d28762c0b48b60e8e3a68267
- Size of remote file:
- 492 MB
- SHA256:
- d62b4288bd03547fb5ce6abce08a5eb8a7625c575e843dd0b4f34c53fbda538b
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