Instructions to use trollek/Qwen2-0.5B-DiffusionPrompter-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trollek/Qwen2-0.5B-DiffusionPrompter-v0.1 with Transformers:

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

pipe = pipeline("text-generation", model="trollek/Qwen2-0.5B-DiffusionPrompter-v0.1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("trollek/Qwen2-0.5B-DiffusionPrompter-v0.1")
model = AutoModelForCausalLM.from_pretrained("trollek/Qwen2-0.5B-DiffusionPrompter-v0.1", device_map="auto")
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 trollek/Qwen2-0.5B-DiffusionPrompter-v0.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "trollek/Qwen2-0.5B-DiffusionPrompter-v0.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "trollek/Qwen2-0.5B-DiffusionPrompter-v0.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/trollek/Qwen2-0.5B-DiffusionPrompter-v0.1

SGLang

How to use trollek/Qwen2-0.5B-DiffusionPrompter-v0.1 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 "trollek/Qwen2-0.5B-DiffusionPrompter-v0.1" \
    --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": "trollek/Qwen2-0.5B-DiffusionPrompter-v0.1",
		"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 "trollek/Qwen2-0.5B-DiffusionPrompter-v0.1" \
        --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": "trollek/Qwen2-0.5B-DiffusionPrompter-v0.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use trollek/Qwen2-0.5B-DiffusionPrompter-v0.1 with Docker Model Runner:
```
docker model run hf.co/trollek/Qwen2-0.5B-DiffusionPrompter-v0.1
```

trollek commited on Jul 6, 2024

Commit

f6d0415

verified ·

1 Parent(s): f6b1aee

Update README.md

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README.md CHANGED Viewed

@@ -16,6 +16,10 @@ A small SD prompt model. Give it a prompt like "a beach ball" and you'll get som
 > A group of children play on a beach, wearing colorful clothing and hats. The sun is setting, casting a warm orange glow over the scene. The air is filled with laughter and screams as they jump and roll around in the sand. A small beach ball floats in the water, adding to the serene ambiance of the scene.
 ## Template
 ```jinja
@@ -27,7 +31,7 @@ A small SD prompt model. Give it a prompt like "a beach ball" and you'll get som
 ## Quants and Ollama
 ### GGUF
-- trollek/Qwen2-0.5B-DiffusionPrompter-v0.1-GGUF
 ### Ollama

 > A group of children play on a beach, wearing colorful clothing and hats. The sun is setting, casting a warm orange glow over the scene. The air is filled with laughter and screams as they jump and roll around in the sand. A small beach ball floats in the water, adding to the serene ambiance of the scene.
+or "painting of a beach ball, WLOP":
+> beautiful sunset on the ocean in the style of wlop, painting of a beach ball, detailed and intricate details, realistic
 ## Template
 ```jinja
 ## Quants and Ollama
 ### GGUF
+- [trollek/Qwen2-0.5B-DiffusionPrompter-v0.1-GGUF](https://huggingface.co/trollek/Qwen2-0.5B-DiffusionPrompter-v0.1-GGUF)
 ### Ollama