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-300/optimizer.bin from janetsw/pso: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/pso/resolve/main/checkpoint-300/optimizer.bin
- Command line
-
hf download hf://janetsw/pso/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/pso/resolve/main/checkpoint-300/optimizer.bin
405 MB
- Xet hash:
- 235900731f93cbc1f4f82ab7368e23a0e20d3116db71f92692c94a62fa7b6e0a
- Size of remote file:
- 405 MB
- SHA256:
- 7e31f8b6c4d7cb3ebae1c1bab9fd8a8cb9884a9382c9c57c3b11ef2de9fd532b
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