Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use AACEE/textual_inversion_sksship with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AACEE/textual_inversion_sksship 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("AACEE/textual_inversion_sksship") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c5cac21ac7bcb5d0aa592761d61baf0f5683307b6513ba9f21b14de31ae2fec1
- Size of remote file:
- 4 kB
- SHA256:
- cbea1463cdc049c5edb0f679c9ff2bf2105725bdbf3b29b3471d91991f2bff8b
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