Instructions to use Gustavosta/MagicPrompt-Stable-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Gustavosta/MagicPrompt-Stable-Diffusion with Transformers:

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

pipe = pipeline("text-generation", model="Gustavosta/MagicPrompt-Stable-Diffusion")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Gustavosta/MagicPrompt-Stable-Diffusion")
model = AutoModelForCausalLM.from_pretrained("Gustavosta/MagicPrompt-Stable-Diffusion")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Gustavosta/MagicPrompt-Stable-Diffusion with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Gustavosta/MagicPrompt-Stable-Diffusion

SGLang

How to use Gustavosta/MagicPrompt-Stable-Diffusion 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 "Gustavosta/MagicPrompt-Stable-Diffusion" \
    --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": "Gustavosta/MagicPrompt-Stable-Diffusion",
		"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 "Gustavosta/MagicPrompt-Stable-Diffusion" \
        --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": "Gustavosta/MagicPrompt-Stable-Diffusion",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Gustavosta/MagicPrompt-Stable-Diffusion with Docker Model Runner:
```
docker model run hf.co/Gustavosta/MagicPrompt-Stable-Diffusion
```

How do I run the model?

by FrentescuCezar - opened Oct 16, 2022

Discussion

FrentescuCezar

Oct 16, 2022

As the title says, I want to run the model. I cloned the repository, have the files in my computer, and there isn't any tutorial to run the pytorch_model.bin

suduma

Oct 21, 2022

I'm curious as well, wanting to integrate into automatic1111

RassilonSleeps

Oct 22, 2022

•

edited Oct 22, 2022

It requires use of Hugging Faces's transformers library:
https://pypi.org/project/transformers/
https://huggingface.co/docs/transformers/index

You can use/reference my version based on Gustavosta's spaces app.py here:
https://github.com/RassilonSleeps/MagicPrompt-SD

My repo includes instructions for running locally or on Google Colab. It also contains Gustavosta's model, so it can be run offline after grabbing dependencies.

RassilonSleeps

Oct 22, 2022

@suduma If you just want it in A1111's web-ui, I happened across this thread:
https://www.reddit.com/r/stablediffusion/comments/xvjm84/_/

Recent comments indicate the "--disable-safe-unpickle" launch args are needed to allow the use of the gpt2 model. Haven't tried the script myself yet.

suduma

Oct 24, 2022

Thank you sir, you are awesome!

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