Instructions to use Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator with Transformers:

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

pipe = pipeline("text-generation", model="Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator")
model = AutoModelForCausalLM.from_pretrained("Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator

SGLang

How to use Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator 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 "Ar4ikov/gpt2-650k-stable-diffusion-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": "Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator",
		"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 "Ar4ikov/gpt2-650k-stable-diffusion-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": "Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator with Docker Model Runner:
```
docker model run hf.co/Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Stable Diffusion Prompt Generator

TODO: Complete me next time

Introcude

...

from transformers import pipeline

pipe = pipeline('text-generation', model_id='Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator')


def get_valid_prompt(text: str) -> str:
  dot_split = text.split('.')[0]
  n_split = text.split('\n')[0]

  return {
    len(dot_split) < len(n_split): dot_split,
    len(n_split) > len(dot_split): n_split,
    len(n_split) == len(dot_split): dot_split   
  }[True]


prompt = 'A Tokio town landscape, sunset, by'

valid_prompt = get_valid_prompt(pipe(prompt, max_length=77)[0]['generated_text'])
print(valid_prompt)
# >>> A Tokio town landscape, sunset, by Greg Rutkowski,Artgerm,trending on Behance,light effect,high detail,3d sculpture,golden ratio,dramatic,dramatic background,digital art

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Safetensors

Model size

0.1B params

Tensor type

F32

Model tree for Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator

Quantizations

3 models

Ar4ikov
/

gpt2-650k-stable-diffusion-prompt-generator

Stable Diffusion Prompt Generator

Introcude

Model tree for Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator

Datasets used to train Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator

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