Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use janetsw/ya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/ya 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("janetsw/ya") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from janetsw/ya: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/ya/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://janetsw/ya/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/ya/resolve/main/checkpoint-500/optimizer.bin
405 MB
- Xet hash:
- 41735c182b7a5e05a9b0cc51ddc4b458ac5f4d48c343dd8b7d8c2e4044d6bec6
- Size of remote file:
- 405 MB
- SHA256:
- 6527c0d98f01e9abbbf917294179e419488a7f322363e211548052580b09d88f
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