Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use gchen019/robot_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gchen019/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("gchen019/robot_weights", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks toy robot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download class/111-2b9a3935492b615887a2c494d74f3090c4e0cba9.jpg from gchen019/robot_weights: direct link, hf CLI and curl.
- Browser
- Download file 28.2 kB
-
https://huggingface.co/gchen019/robot_weights/resolve/main/class/111-2b9a3935492b615887a2c494d74f3090c4e0cba9.jpg
- Command line
-
hf download hf://gchen019/robot_weights/class/111-2b9a3935492b615887a2c494d74f3090c4e0cba9.jpg
-
curl -L -o 111-2b9a3935492b615887a2c494d74f3090c4e0cba9.jpg https://huggingface.co/gchen019/robot_weights/resolve/main/class/111-2b9a3935492b615887a2c494d74f3090c4e0cba9.jpg
28.2 kB
