Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use ashnrk/style_textual_inversion_sat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashnrk/style_textual_inversion_sat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("ashnrk/style_textual_inversion_sat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f9b37c0508b684dd647ce73db198cf003779febcb124dc3c077ccd5c71bb2abd
- Size of remote file:
- 4.86 kB
- SHA256:
- 9fd0a5b26a05de5ea3991f9811f9009f676512da768169268e85a02c5e28cf9b
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