Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/All with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/All 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/All") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/optimizer.bin from janetsw/All: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/All/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://janetsw/All/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/All/resolve/main/checkpoint-1500/optimizer.bin
405 MB
- Xet hash:
- 268856df6cc92d3faf7ae5fe7ed5a898a79dcb95fc218ca824c6d9a2a3030483
- Size of remote file:
- 405 MB
- SHA256:
- 3092b169ac1c42de2b61084e336b1ad0847097729707fe475ee521628ce27178
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