Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/rc_car with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/rc_car 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/rc_car") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from dxli/rc_car: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/dxli/rc_car/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://dxli/rc_car/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dxli/rc_car/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- ab88919fb6505aab92df39365f5b3e1d7af7394630407a75ec783abb0b77e4a5
- Size of remote file:
- 304 MB
- SHA256:
- 7bfe08147244f8334200044b4cb1cd5cf65b52bb5f275db178fbda6102fbab68
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