Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use nomsgadded/textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nomsgadded/textual_inversion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("nomsgadded/textual_inversion") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cf5613e96582d188a5935efbdc18423ed682569e7c6fb7726fa92ce279978f46
- Size of remote file:
- 3.84 kB
- SHA256:
- 93a757129531a4d62a7fe8dd2051dd54d395c65990caebdf88a23eb9fddcea96
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