Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use dinushiTJ/mka_textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dinushiTJ/mka_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/mka_textual_inversion") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from dinushiTJ/mka_textual_inversion: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/dinushiTJ/mka_textual_inversion/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://dinushiTJ/mka_textual_inversion/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dinushiTJ/mka_textual_inversion/resolve/main/checkpoint-2000/optimizer.bin
405 MB
- Xet hash:
- 3f17b53d2d7e8f6c86587b806a7885f4d5d9cc408fd7935646d8fa680c02d8da
- Size of remote file:
- 405 MB
- SHA256:
- 5e1d671e018ecf76a7b5e58c369a861701fd6e105c6be868d5b71179ce977c10
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