Pixtral 12b

🚀 圖像文本轉換模型

本項目提供與Transformers兼容的pixtral檢查點，可實現圖像文本到文本的轉換功能，為圖像描述等應用場景提供支持。

🚀 快速開始

Transformers兼容的pixtral檢查點。請確保從源代碼安裝或等待v4.45版本發佈！

💻 使用示例

基礎用法

from PIL import Image
from transformers import AutoProcessor, LlavaForConditionalGeneration
model_id = "mistral-community/pixtral-12b"
model = LlavaForConditionalGeneration.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id)

IMG_URLS = [
"https://picsum.photos/id/237/400/300", 
"https://picsum.photos/id/231/200/300", 
"https://picsum.photos/id/27/500/500",
"https://picsum.photos/id/17/150/600",
]
PROMPT = "<s>[INST]Describe the images.\n[IMG][IMG][IMG][IMG][/INST]"

inputs = processor(text=PROMPT, images=IMG_URLS, return_tensors="pt").to("cuda")
generate_ids = model.generate(**inputs, max_new_tokens=500)
output = processor.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]

運行上述代碼後，你應該會得到類似於以下內容的輸出：

"""
Describe the images.
Sure, let's break down each image description:

1. **Image 1:**
   - **Description:** A black dog with a glossy coat is sitting on a wooden floor. The dog has a focused expression and is looking directly at the camera.
   - **Details:** The wooden floor has a rustic appearance with visible wood grain patterns. The dog's eyes are a striking color, possibly brown or amber, which contrasts with its black fur.

2. **Image 2:**
   - **Description:** A scenic view of a mountainous landscape with a winding road cutting through it. The road is surrounded by lush green vegetation and leads to a distant valley.
   - **Details:** The mountains are rugged with steep slopes, and the sky is clear, indicating good weather. The winding road adds a sense of depth and perspective to the image.

3. **Image 3:**
   - **Description:** A beach scene with waves crashing against the shore. There are several people in the water and on the beach, enjoying the waves and the sunset.
   - **Details:** The waves are powerful, creating a dynamic and lively atmosphere. The sky is painted with hues of orange and pink from the setting sun, adding a warm glow to the scene.

4. **Image 4:**
   - **Description:** A garden path leading to a large tree with a bench underneath it. The path is bordered by well-maintained grass and flowers.
   - **Details:** The path is made of small stones or gravel, and the tree provides a shaded area with the bench invitingly placed beneath it. The surrounding area is lush and green, suggesting a well-kept garden.

Each image captures a different scene, from a close-up of a dog to expansive natural landscapes, showcasing various elements of nature and human interaction with it.
"""

高級用法

你還可以使用聊天模板為Pixtral格式化聊天曆史記錄。請確保傳遞給processor的images參數中的圖像順序與它們在聊天中出現的順序一致，以便模型理解每個圖像的位置。

from PIL import Image
from transformers import AutoProcessor, LlavaForConditionalGeneration
model_id = "mistral-community/pixtral-12b"
model = LlavaForConditionalGeneration.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id)

url_dog = "https://picsum.photos/id/237/200/300"
url_mountain = "https://picsum.photos/seed/picsum/200/300"

chat = [
    {
      "role": "user", "content": [
        {"type": "text", "content": "Can this animal"}, 
        {"type": "image"}, 
        {"type": "text", "content": "live here?"}, 
        {"type": "image"}
      ]
    }
]

prompt = processor.apply_chat_template(chat)
inputs = processor(text=prompt, images=[url_dog, url_mountain], return_tensors="pt").to(model.device)
generate_ids = model.generate(**inputs, max_new_tokens=500)
output = processor.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]

運行上述代碼後，你應該會得到類似於以下內容的輸出：

Can this animallive here?Certainly! Here are some details about the images you provided:

### First Image
- **Description**: The image shows a black dog lying on a wooden surface. The dog has a curious expression with its head tilted slightly to one side.
- **Details**: The dog appears to be a young puppy with soft, shiny fur. Its eyes are wide and alert, and it has a playful demeanor.
- **Context**: This image could be used to illustrate a pet-friendly environment or to showcase the dog's personality.

### Second Image
- **Description**: The image depicts a serene landscape with a snow-covered hill in the foreground. The sky is painted with soft hues of pink, orange, and purple, indicating a sunrise or sunset.
- **Details**: The hill is covered in a blanket of pristine white snow, and the horizon meets the sky in a gentle curve. The scene is calm and peaceful.
- **Context**: This image could be used to represent tranquility, natural beauty, or a winter wonderland.

### Combined Context
If you're asking whether the dog can "live here," referring to the snowy landscape, it would depend on the breed and its tolerance to cold weather. Some breeds, like Huskies or Saint Bernards, are well-adapted to cold environments, while others might struggle. The dog in the first image appears to be a breed that might prefer warmer climates.

Would you like more information on any specific aspect?

⚠️ 重要提示

雖然輸入中的間距看起來可能被打亂了，但這是因為我們為了顯示而跳過了特殊標記。實際上，"Can this animal" 和 "live here" 是由圖像標記正確分隔的。你可以嘗試包含特殊標記進行解碼，以查看模型實際接收到的內容！