Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Roy61/textual_inversion_H3D_numVector5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Roy61/textual_inversion_H3D_numVector5 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_numVector5") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7615cf561747b034d22a42e6a7b933b08bce93646becbc14065647d657dc2ea8
- Size of remote file:
- 16.3 kB
- SHA256:
- c1902f4d45b58f767410337eac1d3ddf21bc3f46e0dfbd63e3a4cb984c6e136a
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