Instructions to use FredZhang7/anime-anything-promptgen-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FredZhang7/anime-anything-promptgen-v2 with Transformers:

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

pipe = pipeline("text-generation", model="FredZhang7/anime-anything-promptgen-v2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("FredZhang7/anime-anything-promptgen-v2")
model = AutoModelForMultimodalLM.from_pretrained("FredZhang7/anime-anything-promptgen-v2")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FredZhang7/anime-anything-promptgen-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FredZhang7/anime-anything-promptgen-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FredZhang7/anime-anything-promptgen-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FredZhang7/anime-anything-promptgen-v2

SGLang

How to use FredZhang7/anime-anything-promptgen-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 "FredZhang7/anime-anything-promptgen-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": "FredZhang7/anime-anything-promptgen-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 "FredZhang7/anime-anything-promptgen-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": "FredZhang7/anime-anything-promptgen-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FredZhang7/anime-anything-promptgen-v2 with Docker Model Runner:
```
docker model run hf.co/FredZhang7/anime-anything-promptgen-v2
```

FredZhang7 commited on Feb 10, 2023

Commit

71aeaca

1 Parent(s): 767bf1b

Added missing step

Browse files

Files changed (1) hide show

preprocess.py +10 -7

preprocess.py CHANGED Viewed

@@ -1,20 +1,23 @@
 import re
-def clean_sentence(sentence):
-    # Remove "!", "?", ".", "(", ")" from the sentence
-    sentence = re.sub(r"[!.?()]", "", sentence)
     # Replace " , " with an empty space
-    sentence = re.sub(r" , ", " ", sentence)
     # Remove any trailing commas
-    sentence = re.sub(r"^,|,$", "", sentence)
     # Strip spaces
-    sentence = sentence.strip()
     # Remove any usernames
-    words = sentence.split(", ")
     result = []
     for word in words:
         word = word.strip()

 import re
+def clean_tags(tags):
+    # Make tags more human readable
+    tags = tags.replace(' ', ', ').replace('_', ' ')
+    # Remove "!", "?", ".", "(", ")" from the tags
+    tags = re.sub(r"[!.?()]", "", tags)
     # Replace " , " with an empty space
+    tags = re.sub(r" , ", " ", tags)
     # Remove any trailing commas
+    tags = re.sub(r"^,|,$", "", tags)
     # Strip spaces
+    tags = tags.strip()
     # Remove any usernames
+    words = tags.split(", ")
     result = []
     for word in words:
         word = word.strip()