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README.md
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- realistic
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- lora
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## Example Generations
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- realistic
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- lora
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---
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# Lenovo ChromaRadiance
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## 🛠️ Usage Instructions
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To use LoRAs with Chroma Radiance, you need to apply a few changes to your ComfyUI files using the modified files provided in this repository:
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1. **Replace `lora.py` (Main):**
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Take the file from the `comfy` folder in this repo and replace the file at:
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`ComfyUI/comfy/lora.py`
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2. **Replace `lora.py` (Weight Adapter):**
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Take the file from the `weight_adapter` folder in this repo and replace the file at:
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`ComfyUI/comfy/weight_adapter/lora.py`
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### Workflow & Notes
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Please use the workflow provided in this repository for the best results.
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> **Observation:** Based on my personal testing, GGUF generation takes a bit longer, but the quality appears to be slightly better. However, it is hard to say for sure as I haven't had enough time for extensive testing yet.
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### 💡 Generation Tips
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1. **Samplers & Settings:**
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* **Best Quality:** I achieve the best results using `fully_implicit` samplers (such as `radau_iia_2s` and `gauss-legendre_2s`). For these, **20-30 steps** are sufficient, and you should keep **bong_math** disabled.
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* **Alternative (Faster):** `dpmpp3m` + `beta` also works quite well with **50 steps** and **bong_math** enabled. It generates faster, but the output tends to be slightly noisier.
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2. **LoRA Strength:**
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* Recommended strength: **0.85 - 1.0**.
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3. **Combinations:**
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* This model can be combined with my **NiceGirls** LoRA.
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* *Suggested weights:* NiceGirls at **0.6** + Lenovo at **0.8**.
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---
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## Example Generations
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