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- README.md +132 -0
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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README.md
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: images/hammer_output.png
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text: >-
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HNDPNT, Texture the wireframe mesh of a complex ornate fantasy tech-hammer.
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Apply a stylized handpainted base color style. The texture features a blocky
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head constructed from polished gold trim, copper plating, and silver inlays
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with scrollwork. It is embedded with large faceted glowing blue gems on the
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sides and blue crystal spikes at the back. The handle displays copper
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piping, vertical blue energy vials, and a dark brown grip with glowing blue
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runes, ending in a mechanical claw pommel.
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- output:
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url: images/barrel_output.png
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text: >-
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HNDPNT, Texture the wireframe mesh of a stylized wooden barrel. Apply a
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stylized handpainted base color style. The texture features a body
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constructed from thick, dark brown weathered wooden staves with prominent
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stylized wood grain, deep gaps, and edge wear with lighter brown highlights.
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It is reinforced by three broad, dark grey hammered metal bands secured with
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large, chunky metal rivets. The top surface is a circular wooden lid with a
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central recessed metal handle ring. Thick brushstrokes and baked-in lighting
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define the chunky forms.
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base_model: nunchaku-tech/nunchaku-qwen-image-edit-2509
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instance_prompt: HNDPNT
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license: apache-2.0
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---
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# Wireframe to Texture LoRA
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<Gallery />
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## Model description
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# Wireframe to Hand-Painted – Stylized Texture LoRA
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This LoRA is designed to convert **3D wireframe projections into stylized, hand-painted base textures** using image-to-image generation.
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It is intended to be used as a **base texture generator**, not as a final production asset tool.
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Check out this post for more info, prompts examples, etc: https://www.artstation.com/artwork/vb6X9a
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---
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## 🔹 Base Model
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This LoRA was trained on the **base version of Qwen Image Edit**
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⚠️ **NOT trained on Qwen Image Edit 2509**
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Results and behavior are aligned with the **base model only**.
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---
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## 🔹 Training Setup
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- Trained on **ModelScope**
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- Dataset size: **50+ curated image pairs**
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- Training data:
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- **Input:** 2D image of Wireframe / projection renders from 3D models
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- **Output:** Stylized hand-painted texture results
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- Multiple LoRA variations were trained and tested
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- Each variation included **multiple checkpoints**
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- The released version corresponds to the **best-performing checkpoint** after visual and consistency evaluation
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---
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## 🔹 Intended Input
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This model expects:
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- A **clean wireframe or projection render** of a 3D model
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- **Neutral background** (gray or flat color recommended)
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- **Clear silhouette and readable geometry**
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Optimized for:
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- Stylized / hand-painted textures
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- Fantasy and stylized props
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- Game-ready asset base generation
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---
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## ✅ What This Model Is For
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- **Fast base texture generation**
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- **Stylized look exploration**
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- **Early production & iteration**
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- **Indie and small-team pipelines**
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- **Artist-in-the-loop workflows**
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---
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## ❌ What This Model Is NOT
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- ❌ Not a one-click final asset generator
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- ❌ Does **not** generate full PBR texture sets
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- ❌ Does **not** replace manual texturing
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- ❌ Only textures **visible projected faces** (no full 360° automatic coverage)
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---
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## 🔹 Recommended Workflow
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1. Export a **wireframe / projection render** from your 3D software (3DCoat, Blender, etc.)
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2. Use **image-to-image** with this LoRA
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3. Generate a **stylized base texture**
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4. **Refine manually** in 3DCoat, Substance, or painting tools
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---
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## 🧠 Philosophy
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This model is built to **empower artists, not replace them**.
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It removes the **blank canvas problem** and accelerates early-stage production, while keeping **full creative control** in the artist’s hands.
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AI as a **starting point**, not the final answer.
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https://cdn-uploads.huggingface.co/production/uploads/645579dd1f9406d48803f158/7aVeKAkPNxLiPVP4s5fbT.mp4
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## Trigger words
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You should use `HNDPNT` to trigger the image generation.
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## Download model
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[Download](/ianlebot/Wireframe_to_Texture/tree/main) them in the Files & versions tab.
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