Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Roy61/textual_inversion_H3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Roy61/textual_inversion_H3D 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("Roy61/textual_inversion_H3D") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Roy61/textual_inversion_H3D: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Roy61/textual_inversion_H3D/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Roy61/textual_inversion_H3D/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Roy61/textual_inversion_H3D/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a51c4012aee16eea608965a2e5c3aa249c3132d7fbb1245111d0c7bf24103a59
- Size of remote file:
- 492 MB
- SHA256:
- 30e38c2de4080c9b56618539198f27263c35cc3d3d41cbf01f0ceac3e4dd1cc5
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