Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use sj98/ti_test2_yeosin_3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sj98/ti_test2_yeosin_3000 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("sj98/ti_test2_yeosin_3000") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from sj98/ti_test2_yeosin_3000: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/sj98/ti_test2_yeosin_3000/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://sj98/ti_test2_yeosin_3000/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sj98/ti_test2_yeosin_3000/resolve/main/checkpoint-1000/optimizer.bin
304 MB
- Xet hash:
- 2d2b21377bedab50043aaa76292557d27db7297647c9e825072ff187c2482ea4
- Size of remote file:
- 304 MB
- SHA256:
- a67da8c96a5cd3b8b1ead84dce5a89740fcbc2542c896927fa7bd3451c85d78c
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