Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/pso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/pso 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/pso") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from janetsw/pso: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/pso/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://janetsw/pso/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/pso/resolve/main/checkpoint-200/optimizer.bin
405 MB
- Xet hash:
- 1e99736c2ab7cb56bbad9b14fe102bd628fa25a6280fdf5d12205540a61de9f1
- Size of remote file:
- 405 MB
- SHA256:
- 4724b86c47bb61317655085f5fd7f5a15000768cc870ab96e7366bbfe7448eab
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