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 "succinctly/text2image-prompt-generator" \
--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": "succinctly/text2image-prompt-generator",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'This is a GPT-2 model fine-tuned on the succinctly/midjourney-prompts dataset, which contains 250k text prompts that users issued to the Midjourney text-to-image service over a month period. For more details on how this dataset was scraped, see Midjourney User Prompts & Generated Images (250k).
This prompt generator can be used to auto-complete prompts for any text-to-image model (including the DALL·E family):
Note that, while this model can be used together with any text-to-image model, it occasionally produces Midjourney-specific tags. Users can specify certain requirements via double-dashed parameters (e.g. --ar 16:9 sets the aspect ratio to 16:9, and --no snake asks the model to exclude snakes from the generated image) or set the importance of various entities in the image via explicit weights (e.g. hot dog::1.5 food::-1 is likely to produce the image of an animal instead of a frankfurter).
When using this model, please attribute credit to Succinctly AI.
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Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "succinctly/text2image-prompt-generator" \ --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": "succinctly/text2image-prompt-generator", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'