Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/fol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/fol 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/fol") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-300/optimizer.bin from janetsw/fol: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/fol/resolve/main/checkpoint-300/optimizer.bin
- Command line
-
hf download hf://janetsw/fol/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/fol/resolve/main/checkpoint-300/optimizer.bin
405 MB
- Xet hash:
- 215fd4322c1479144c4bda99ead7652ebef713bedadb81cbfdd7dc6b5d126246
- Size of remote file:
- 405 MB
- SHA256:
- 88182049aff0edce3d0d61038e57513e4ca95f4b07746a0534ef275e7229052e
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