Update model card: Fix library_name to diffusers, add diffusers/zenlm tags, add usage example

README.md

@@ -1,36 +1,58 @@
 ---
-library_name: transformers
+library_name: diffusers
 pipeline_tag: text-to-image
 tags:
+  - diffusers
   - text-to-image
-  - diffusion
+  - image-generation
   - japanese
   - zen
   - zen3
+  - zenlm
   - hanzo
 license: apache-2.0
 ---
 
 # Zen3 Image JP
 
-**Zen LM by Hanzo AI** — Japanese-optimized image generation with enhanced text rendering.
+**Zen LM by Hanzo AI** — Japanese-optimized image generation with enhanced Japanese text rendering and aesthetics.
 
 ## Specs
 
 | Property | Value |
 |----------|-------|
 | Parameters | 12B |
-| Context | 1024px |
+| Resolution | 1024x1024 |
 | Architecture | Zen MoDE (Mixture of Distilled Experts) |
 | Generation | Zen3 |
 
+## Usage
+
+```python
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipe = AutoPipelineForText2Image.from_pretrained(
+    "zenlm/zen3-image-jp",
+    torch_dtype=torch.float16,
+)
+pipe = pipe.to("cuda")
+
+image = pipe(
+    "A serene Japanese garden with cherry blossoms",
+    num_inference_steps=50,
+    guidance_scale=5.0,
+).images[0]
+image.save("output.png")
+```
+
 ## API Access
 
 ```bash
-curl https://api.hanzo.ai/v1/chat/completions \
+curl https://api.hanzo.ai/v1/images/generations \
   -H "Authorization: Bearer $HANZO_API_KEY" \
   -H "Content-Type: application/json" \
-  -d '{"model": "zen3-image-jp", "messages": [{"role": "user", "content": "Hello"}]}'
+  -d '{"model": "zen3-image-jp", "prompt": "A serene Japanese garden with cherry blossoms"}'
 ```
 
 Get your API key at [console.hanzo.ai](https://console.hanzo.ai) — $5 free credit on signup.