Instructions to use hchen657Naza/PWM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hchen657Naza/PWM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hchen657Naza/PWM", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 506 Bytes
dd253d4 | 1 2 3 4 5 6 7 8 9 10 | #!/bin/bash
# check ROBOMETER_PROCESSED_DATASETS_PATH (or RBM_PROCESSED_DATASETS_PATH) is set
if [ -z "${ROBOMETER_PROCESSED_DATASETS_PATH:-$RBM_PROCESSED_DATASETS_PATH}" ]; then
echo "ROBOMETER_PROCESSED_DATASETS_PATH (or RBM_PROCESSED_DATASETS_PATH) is not set"
exit 1
fi
# increase the number of open files limit
ulimit -n 65535
# download processed datasets
hf download jesbu1/processed_datasets --repo-type dataset --local-dir=${ROBOMETER_PROCESSED_DATASETS_PATH:-$RBM_PROCESSED_DATASETS_PATH} |