Upload README.md

README.md

@@ -2,97 +2,112 @@
 license: openrail++
 tags:
   - image-to-video
+  - text-to-video
   - wan2.1
   - finetune
   - anime
   - 480p
 model_type: image-to-video
-base_model: Wan2_1-I2V
 ---
 
-# Wanime I2V 14B – Anime-Style Image-to-Video (480p)
+# Wanime 14B – I2V + T2V Anime Models for WanGP
 
-This is a Wan 2.1 14B image-to-video finetune model focused on anime-style motion and aesthetics at 480p. Based on the original weights released by Civitai creator [Zazc](https://civitai.com/models/1626197?modelVersionId=1840561), this model is locally prepped for use in WanGP with both FP16 and INT8 quantized formats.
+This repo contains both **Image-to-Video (I2V)** and **Text-to-Video (T2V)** versions of the Wanime 14B anime-style motion model, optimized for WanGP. These models are based on the original release by [Zazc](https://civitai.com/models/1626197?modelVersionId=1840561) and converted to `.safetensors` format for secure local use.
 
 ---
 
-## 📥 Files
+## 📦 Files Included
 
-- `Wanime-I2V-14B-480P_fp16_pure.safetensors` – Original FP16 weights for full precision video generation.
-- `Wanime-I2V-14B-480P_quanto_fp16_int8.safetensors` – Quantized INT8 version for faster generation in lower VRAM setups.
+| Model Type | Format | Filename |
+|------------|--------|----------|
+| I2V        | FP16   | `Wanime-I2V-14B-480P_fp16_pure.safetensors` |
+| I2V        | INT8   | `Wanime-I2V-14B-480P_quanto_fp16_int8.safetensors` |
+| T2V        | FP16   | `Wanime-T2V-14B_fp16_pure.safetensors` |
+| T2V        | INT8   | `Wanime-T2V-14B_quanto_fp16_int8.safetensors` |
 
 ---
 
-## 🛠 How to Use (WanGP)
-
-1. Drop both `.safetensors` files into your WanGP `ckpts/` folder:
-   ```
-   D:/pinokio/api/wan.git/app/ckpts/
-   ```
-
-2. Save the following JSON file to:
-   ```
-   D:/pinokio/api/wan.git/app/finetunes/wan_i2v_wanime14B_480p.json
-   ```
-
-3. Sample `finetune JSON`:
-   ```jsonc
-   {
-     "model": {
-       "name": "Wanime I2V 14B 480P",
-       "architecture": "i2v",
-       "description": "Wanime 480p anime-style I2V model, optimized for local WanGP use.",
-       "URLs": [
-         "Wanime-I2V-14B-480P_fp16_pure.safetensors",
-         "Wanime-I2V-14B-480P_quanto_fp16_int8.safetensors"
-       ],
-       "modules": [],
-       "auto_quantize": false
-     },
-     "prompt": "",
-     "negative_prompt": "out of frame, lowres, text, error, cropped, worst quality, jpeg artifacts, ugly, duplicate, poorly drawn hands, malformed limbs, watermark",
-     "resolution": "832x480",
-     "video_length": 81,
-     "num_inference_steps": 8,
-     "guidance_scale": 1.0,
-     "multi_images_gen_type": 0
-   }
-   ```
-
-4. Launch with:
-   ```bash
-   python wgp.py --multiple-images
-   ```
+## 🛠 How to Use in WanGP
+
+> Place all `.safetensors` files in:
+```
+D:/pinokio/api/wan.git/app/ckpts/
+```
+
+> Then use these JSON finetune definitions in:
+```
+D:/pinokio/api/wan.git/app/finetunes/
+```
+
+### 🔹 I2V Finetune JSON (`wan_i2v_wanime14B_480p.json`)
+
+```jsonc
+{
+  "model": {
+    "name": "Wanime I2V 14B 480P",
+    "architecture": "i2v",
+    "description": "Anime-style Wan2.1 14B image-to-video model (480p baseline).",
+    "URLs": [
+      "Wanime-I2V-14B-480P_fp16_pure.safetensors",
+      "Wanime-I2V-14B-480P_quanto_fp16_int8.safetensors"
+    ],
+    "modules": [],
+    "auto_quantize": false
+  },
+  "prompt": "",
+  "negative_prompt": "out of frame, cropped, error, low quality, watermark",
+  "resolution": "832x480",
+  "video_length": 81,
+  "guidance_scale": 1.0,
+  "num_inference_steps": 8
+}
+```
+
+### 🔹 T2V Finetune JSON (`wan_t2v_wanime14B.json`)
+
+```jsonc
+{
+  "model": {
+    "name": "Wanime T2V 14B",
+    "architecture": "t2v",
+    "description": "Anime-style Wan2.1 14B text-to-video model.",
+    "URLs": [
+      "Wanime-T2V-14B_fp16_pure.safetensors",
+      "Wanime-T2V-14B_quanto_fp16_int8.safetensors"
+    ],
+    "modules": [],
+    "auto_quantize": false
+  },
+  "prompt": "",
+  "negative_prompt": "out of frame, cropped, error, low quality, watermark",
+  "resolution": "832x480",
+  "video_length": 81,
+  "guidance_scale": 7.5,
+  "num_inference_steps": 10
+}
+```
 
 ---
 
-## 🧠 About the Model
+## 💡 Prompt Ideas
 
-This model is derived from Zazc's Civitai release “WANime v3 I2V 14B”:
-🔗 https://civitai.com/models/1626197?modelVersionId=1840561
-
-It was originally trained for consistent anime-character motion generation using Wan2.1’s powerful I2V backbone (14B params). This version is cleaned for `.safetensors` compatibility and formatted for WanGP.
-
----
-
-## ✨ Recommended Prompts
-
-- “An anime girl walking through a field of sunflowers, wide shot, cinematic composition”
-- “Dramatic silhouette of a ninja jumping across rooftops at night, anime lighting”
-- “Side-scrolling shot of a futuristic anime city, neon lights, sunset glow”
+- “A mysterious anime girl walking across a glowing bridge at night, dramatic camera pan”
+- “A side-scrolling mecha battle in a ruined city, 80s anime style”
+- “A child running through falling sakura petals, slow motion, cinematic”
 
 ---
 
-## 💡 Notes
+## ✨ Notes
 
-- INT8 model recommended for RTX 3060 or lower
-- FP16 model performs best on 4090/3090 class GPUs
-- You can convert to BF16 or quantize your own using `--save-quantized`
+- Use INT8 models for faster performance and lower VRAM use
+- Compatible with WanGP 2.1+ local UI via `--multiple-images` or `--t2v` launch mode
+- FP16 models recommended for 3090/4090-class GPUs
+- **This is a newly prepped finetune for WanGP and may require experimentation with guidance scale, step count, and prompt format to achieve optimal results.**
 
 ---
 
-## 🔖 Credits
+## 🧩 Credits
 
-- Base model: **Wan2.1 I2V 14B**
-- Finetune creator: [Zazc on Civitai](https://civitai.com/models/1626197)
-- Local packaging & WanGP prep: **hdtrnk**
+- Original model: [Zazc on Civitai](https://civitai.com/models/1626197)
+- Base backbone: **Wan 2.1 14B**
+- Conversion & formatting: **hdtrnk**