Instructions to use decula/sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use decula/sd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "decula/sd") - Transformers
How to use decula/sd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="decula/sd")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("decula/sd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use decula/sd with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "decula/sd" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "decula/sd", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/decula/sd
- SGLang
How to use decula/sd with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "decula/sd" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "decula/sd", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "decula/sd" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "decula/sd", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use decula/sd with Docker Model Runner:
docker model run hf.co/decula/sd
decula commited on
Commit ·
70c5d10
1
Parent(s): e4e31e4
modify frpc path
Browse files
app.py
CHANGED
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@@ -142,9 +142,9 @@ import subprocess
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def install_Frpc(port, frpconfigfile, use_frpc):
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if use_frpc:
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subprocess.run(['chmod', '+x', 'frpc'], check=True)
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print(f'正在启动frp ,端口{port}')
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subprocess.Popen(['frpc', '-c', frpconfigfile])
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install_Frpc('7860',frpconfigfile,use_frpc)
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def install_Frpc(port, frpconfigfile, use_frpc):
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if use_frpc:
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subprocess.run(['chmod', '+x', './frpc'], check=True)
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print(f'正在启动frp ,端口{port}')
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subprocess.Popen(['./frpc', '-c', frpconfigfile])
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install_Frpc('7860',frpconfigfile,use_frpc)
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