Instructions to use darask0/MOSS-Image_4-step_adapter_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darask0/MOSS-Image_4-step_adapter_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-SFT", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("darask0/MOSS-Image_4-step_adapter_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 712 Bytes
47ea602 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | #!/usr/bin/env bash
# Local: stop the pod (keeps its volume) when the RunPod balance drops below $MIN (default 6).
cd "$(dirname "$0")/.."
source scripts/pod.env
MIN=${MIN:-6}
while true; do
OUT=$(nix shell nixpkgs#python3 -c python3 scripts/runpod.py balance 2>/dev/null) || { sleep 120; continue; }
BAL=$(echo "$OUT" | grep clientBalance | grep -o '[0-9.]*')
RUN=$(echo "$OUT" | grep -c '"RUNNING"')
echo "$(date +%T) balance=$BAL running=$RUN"
[[ "$RUN" == 0 ]] && { echo "no running pod, exit"; exit 0; }
if awk "BEGIN{exit !($BAL < $MIN)}"; then
echo "balance below $MIN, stopping $POD_ID"; nix shell nixpkgs#python3 -c python3 scripts/runpod.py stop "$POD_ID"; exit 0
fi
sleep 300
done
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