Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/nem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/nem 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/nem") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from janetsw/nem: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/nem/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://janetsw/nem/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/nem/resolve/main/checkpoint-200/optimizer.bin
405 MB
- Xet hash:
- a240234a2881c1cf7f2f847f9710fd8f41d0c909b222ffb478d31fa8bf8f4850
- Size of remote file:
- 405 MB
- SHA256:
- 4df6cc6930b3eeb48a0937eaa7c8d23ee67aa82859aff1725249391589f49ba6
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