Instructions to use BennyDaBall/Z-Image-Engineer-V6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BennyDaBall/Z-Image-Engineer-V6 with Transformers:

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

pipe = pipeline("text-generation", model="BennyDaBall/Z-Image-Engineer-V6")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("BennyDaBall/Z-Image-Engineer-V6")
model = AutoModelForMultimodalLM.from_pretrained("BennyDaBall/Z-Image-Engineer-V6")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use BennyDaBall/Z-Image-Engineer-V6 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BennyDaBall/Z-Image-Engineer-V6"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BennyDaBall/Z-Image-Engineer-V6",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/BennyDaBall/Z-Image-Engineer-V6

SGLang

How to use BennyDaBall/Z-Image-Engineer-V6 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 "BennyDaBall/Z-Image-Engineer-V6" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BennyDaBall/Z-Image-Engineer-V6",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "BennyDaBall/Z-Image-Engineer-V6" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BennyDaBall/Z-Image-Engineer-V6",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use BennyDaBall/Z-Image-Engineer-V6 with Docker Model Runner:
```
docker model run hf.co/BennyDaBall/Z-Image-Engineer-V6
```

Anyone else having timeout problems with V6?

by stanleypain - opened 12 days ago

Discussion

stanleypain

12 days ago

I'm using the Z-engineer node in ComfyUI and I'm getting a LOT of timeouts (1 in 3 or so) when using V6. I'm not gettting any on the same prompts with V4. Anyone else experiencing this?

buggz2k

12 days ago

did you simply use a scipt to merge the shards?
supposedly? that doesn't work anymore?
you now have to perform some additional conversion for comfyui use?

buggz2k

10 days ago

•

edited 10 days ago

Update, so the script I use continues to work, I merged these shard into one file, just used it in a wf, works good.
Thanks to the author!

BennyDaBall

Owner 9 days ago

Thanks for the heads up! I recommend using the GGUF version in ComfyUI for the time being, I have an updated node I'm going to publish to cap this thing off in a bit.

aksugator

9 days ago

•

edited 9 days ago

Can u make one uncensored version of it as V4 was 😏? as guff

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