Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/bear_plushie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/bear_plushie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("dxli/bear_plushie") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from dxli/bear_plushie: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dxli/bear_plushie/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://dxli/bear_plushie/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dxli/bear_plushie/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- e25b9f9ca73e3e519ee1385a29fe9fdc1519233b138b12611aa73135a5678c7a
- Size of remote file:
- 492 MB
- SHA256:
- 6719beb10e482de6d14ff90b408d53cd996a50b3914aa771205f88bd8d8ac19a
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