Instructions to use LykosAI/GPT-Prompt-Expansion-Fooocus-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LykosAI/GPT-Prompt-Expansion-Fooocus-v2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="LykosAI/GPT-Prompt-Expansion-Fooocus-v2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LykosAI/GPT-Prompt-Expansion-Fooocus-v2")
model = AutoModelForCausalLM.from_pretrained("LykosAI/GPT-Prompt-Expansion-Fooocus-v2")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use LykosAI/GPT-Prompt-Expansion-Fooocus-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LykosAI/GPT-Prompt-Expansion-Fooocus-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LykosAI/GPT-Prompt-Expansion-Fooocus-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LykosAI/GPT-Prompt-Expansion-Fooocus-v2

SGLang

How to use LykosAI/GPT-Prompt-Expansion-Fooocus-v2 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 "LykosAI/GPT-Prompt-Expansion-Fooocus-v2" \
    --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": "LykosAI/GPT-Prompt-Expansion-Fooocus-v2",
		"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 "LykosAI/GPT-Prompt-Expansion-Fooocus-v2" \
        --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": "LykosAI/GPT-Prompt-Expansion-Fooocus-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LykosAI/GPT-Prompt-Expansion-Fooocus-v2 with Docker Model Runner:
```
docker model run hf.co/LykosAI/GPT-Prompt-Expansion-Fooocus-v2
```

GPT2 Prompt Expansion model from lllyasviel/Fooocus

Third-party license terms

Disclaimer

All trademarks, logos, and brand names are the property of their respective owners. All company, product and service names used in this website and licensed applications are for identification purposes only. Use of these names, trademarks, and brands does not imply endorsement.

Downloads last month: 40,656

LykosAI
/

GPT-Prompt-Expansion-Fooocus-v2

Disclaimer

Spaces using LykosAI/GPT-Prompt-Expansion-Fooocus-v2 5