Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/robot_toy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/robot_toy 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/robot_toy") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from dxli/robot_toy: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/dxli/robot_toy/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://dxli/robot_toy/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dxli/robot_toy/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- 4f1b1000a3ec27e65461b028241ba24d6449eb50f034048d1d80ae9673f14636
- Size of remote file:
- 304 MB
- SHA256:
- 8deb2ee6d31aa2b536367434236c2bb153c6cbcfb13c10d0dd39aaef777ac0bf
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