Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use dinushiTJ/src_textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dinushiTJ/src_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("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("dinushiTJ/src_textual_inversion") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3f56a8f6ad7e0791a2fda535593a1bde10e67c47594a2ddb29ace05f1ea8dbd5
- Size of remote file:
- 405 MB
- SHA256:
- e6c84a352e03ef34d3d35b7a6ba0bbe3966d2791b4c76932f3e92260ca9b5f70
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