Update model card: add zen/zenlm tags, fix branding

README.md

@@ -1,58 +1,39 @@
 ---
+language: en
 license: apache-2.0
-base_model: zenlm/zen-image-edit
 tags:
-- image-editing
-- image-to-image
-- text-to-image
-- vision
-- multimodal
-- diffusers
-- zen
-- zenlm
-- hanzo
-language:
-- en
-- zh
+  - image-to-image
+  - zen
+  - zenlm
+  - hanzo
+  - image-editing
+  - diffusion
 pipeline_tag: image-to-image
 library_name: diffusers
 ---
 
 # Zen Image Edit
 
-**Zen LM by Hanzo AI** — Advanced image editing model with natural language instructions. Edit images by describing changes in plain text.
+Instruction-following image editing model for targeted modifications and inpainting.
 
 ## Overview
 
-Zen Image Edit enables precise image editing through natural language instructions:
-- Object manipulation: Add, remove, or move objects seamlessly
-- Style transfer: Apply artistic styles and filters
-- Background editing: Replace or modify backgrounds
-- Facial editing: Adjust expressions and features
-- Resolution: Up to 1024x1024
+Built on **Zen MoDE (Mixture of Distilled Experts)** architecture with 7B parameters.
 
-## Usage
+Developed by [Hanzo AI](https://hanzo.ai) and the [Zoo Labs Foundation](https://zoo.ngo).
+
+## Quick Start
 
 ```python
-from diffusers import AutoPipelineForInpainting
-from PIL import Image
+from diffusers import AutoPipelineForText2Image
 import torch
 
-pipe = AutoPipelineForInpainting.from_pretrained(
-    "zenlm/zen-image-edit",
-    torch_dtype=torch.bfloat16,
-    trust_remote_code=True,
-)
+model_id = "zenlm/zen-image-edit"
+pipe = AutoPipelineForText2Image.from_pretrained(model_id, torch_dtype=torch.bfloat16)
 pipe = pipe.to("cuda")
 
-image = Image.open("input.jpg")
-edited = pipe(
-    image=image,
-    prompt="Remove the car and replace with trees",
-    height=1024,
-    width=1024,
-).images[0]
-edited.save("output.jpg")
+image = pipe("A serene mountain landscape at sunset, photorealistic").images[0]
+image.save("output.png")
 ```
 
 ## API Access
@@ -60,26 +41,24 @@ edited.save("output.jpg")
 ```python
 from openai import OpenAI
 
-client = OpenAI(
-    base_url='https://api.hanzo.ai/v1',
-    api_key='your-api-key',
-)
-
-response = client.images.edit(
-    model='zen-image-edit',
-    image=open('input.jpg', 'rb'),
-    prompt='Remove the car and replace with trees',
-    size='1024x1024',
+client = OpenAI(base_url="https://api.hanzo.ai/v1", api_key="your-api-key")
+response = client.images.generate(
+    model="zen-image-edit",
+    prompt="A serene mountain landscape at sunset",
+    size="1024px",
 )
 print(response.data[0].url)
 ```
 
-Get your API key at [console.hanzo.ai](https://console.hanzo.ai) — $5 free credit on signup.
+## Model Details
+
+| Attribute | Value |
+|-----------|-------|
+| Parameters | 7B |
+| Architecture | Zen MoDE |
+| Max Resolution | 1024px |
+| License | Apache 2.0 |
 
 ## License
 
 Apache 2.0
-
----
-
-*Zen LM is developed by [Hanzo AI](https://hanzo.ai) — Frontier AI infrastructure.*