Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/Ins with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/Ins 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/Ins") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/optimizer.bin from janetsw/Ins: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/Ins/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://janetsw/Ins/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/Ins/resolve/main/checkpoint-1500/optimizer.bin
405 MB
- Xet hash:
- 6b6ec031f8359a128146ed0d43595b6955d89a714341317d1c39f6e3175ff7a3
- Size of remote file:
- 405 MB
- SHA256:
- 2ef8df8af6db561808c5348ea871861b63c85ac3233a1c72f2b7e2b285a0c01b
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