Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use gchen019/textual_inversion_robot_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gchen019/textual_inversion_robot_weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-legacy/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("gchen019/textual_inversion_robot_weights") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from gchen019/textual_inversion_robot_weights: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/gchen019/textual_inversion_robot_weights/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://gchen019/textual_inversion_robot_weights/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gchen019/textual_inversion_robot_weights/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- ffd9bf620b748676ea0b70619a6be80246959a197fe19bda070eadc2cd28ef04
- Size of remote file:
- 304 MB
- SHA256:
- 968e40df78aeb5875c5e563cd245b2e17d6fe7284b2152e832d1a386aec5b014
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