Duplicate from cusiman/Krea2_FP8

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README.md

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+---
+license: other
+license_name: krea-2-license
+license_link: https://www.krea.ai/krea-2-licensing
+pipeline_tag: text-to-image
+library_name: diffusers
+tags:
+- text-to-image
+- image-generation
+- dit
+- fp8
+- comfyui
+- diffusers
+- krea
+- krea2
+---
+
+# Krea 2 OSS - Optimized FP8 Weights (Turbo)
+
+This repository provides an optimized **FP8 (float8_e4m3fn) weight-only quantized version** of the newly released **Krea 2 OSS (Turbo)** transformer. 
+
+This optimization reduces the model size from the original **24.76 GiB (BF16)** down to **12.01 GiB**, making it highly accessible and runnable on standard consumer hardware (such as 16GB and 24GB GPUs) without sacrificing output quality.
+
+## ⚠️ Licensing & Disclaimer
+- **Original Model Creators**: All credit goes to [KREA.ai](https://www.krea.ai) for the original research, architecture, and weights.
+- **License**: This model is subject to the **KREA 2 License Agreement**. Please read and comply with the official license terms before using these weights: [KREA 2 Licensing Terms](https://www.krea.ai/krea-2-licensing).
+- **Purpose**: This repository is a community-contributed utility. It does not claim ownership of the original model or architecture. Its sole purpose is to provide optimized, consumer-hardware-friendly weights for the open-source community.
+
+---
+
+## 🛠️ Quantization Details (Quality-First FP8)
+
+Unlike generic global quantization scripts that aggressively convert every parameter (which often degrades generation details or introduces NaN/promotion calculation errors in neural networks), this model was quantized using a **selective weight-only strategy**:
+
+1. **Targeted Quantization**: Only 2D floating-point weight matrices (`.weight` keys with `ndim >= 2` and element count `> 1024`) were quantized to `torch.float8_e4m3fn`.
+2. **Preserved Precision**: 
+   - All 1D vectors, biases, and normalization scales are kept in their native high-precision (`float32` / `bfloat16`).
+   - Highly sensitive projection/modulation layers (such as `LastLayer.modulation.lin` vectors) are **completely preserved** in high-precision. This prevents typical mathematical promotion bugs (such as `BFloat16` and `Float8` promotion issues in PyTorch) and retains original output fidelity.
+3. **Weight Comparison**:
+   - **Tensors Quantized to FP8**: 266 tensors.
+   - **Tensors Kept in Native Precision**: 166 tensors.
+   - **Size Reduction**: **24.76 GiB ➔ 12.01 GiB** (~51.5% VRAM / disk savings!).
+
+---
+
+## 🖼️ Sample Generations
+
+Below are official sample outputs from the original Krea 2 OSS Turbo model (generated with the same BF16 weights this FP8 conversion is based on):
+
+| | | |
+|:-------------------------:|:-------------------------:|:-------------------------:|
+| ![3d](assets/samples/3d.png) | ![anime](assets/samples/anime.png) | ![beach](assets/samples/beach.png) |
+| **3D** | **Anime** | **Beach** |
+| ![blocks](assets/samples/blocks.png) | ![cel](assets/samples/cel.png) | ![dog](assets/samples/dog.png) |
+| **Blocks** | **Cel** | **Dog** |
+| ![face](assets/samples/face.png) | ![flowers](assets/samples/flowers.png) | ![fox](assets/samples/fox.png) |
+| **Face** | **Flowers** | **Fox** |
+| ![future](assets/samples/future.png) | ![goldface](assets/samples/goldface.png) | ![jester](assets/samples/jester.png) |
+| **Future** | **Goldface** | **Jester** |
+| ![mouse](assets/samples/mouse.png) | ![red](assets/samples/red.png) | ![ride](assets/samples/ride.png) |
+| **Mouse** | **Red** | **Ride** |
+| ![sailor](assets/samples/sailor.png) | ![statue](assets/samples/statue.png) | ![takeoff](assets/samples/takeoff.png) |
+| **Sailor** | **Statue** | **Takeoff** |
+| ![tree](assets/samples/tree.png) | ![wind](assets/samples/wind.png) |  |
+| **Tree** | **Wind** |  |
+
+---
+
+
+## 🚀 How to Use in ComfyUI (Native — 0.25.0+)
+
+ComfyUI 0.25.0+ has **built-in Krea2 support**. No custom nodes needed.  
+Drop the workflow JSON into ComfyUI and drag it to the canvas.
+
+### 1. Download Required Files
+
+Place these in your `ComfyUI/models/` folder:
+
+| File | Folder | Source |
+|------|--------|--------|
+| `krea2_turbo_fp8.safetensors` | `unet/` | [AlperKTS/Krea2_FP8](https://huggingface.co/AlperKTS/Krea2_FP8) ← You are here |
+| `qwen3vl_4b_fp8_scaled.safetensors` | `text_encoders/` | [Comfy-Org/Qwen3-VL](https://huggingface.co/Comfy-Org/Qwen3-VL/tree/main/text_encoders) |
+| `qwen_image_vae.safetensors` | `vae/` | [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/vae) |
+
+### 2. Load the Workflow
+
+Drag [`workflows/Krea 2 simple workflow.json`](workflows/Krea%202%20simple%20workflow.json) onto your ComfyUI canvas.
+
+### 3. Queue & Generate!
+
+Turbo defaults: **8 steps, CFG 1.0, `er_sde` sampler, `simple` scheduler, 1280×720.**
+
+---
+
+## 🤝 Acknowledgements
+Special thanks to the **KREA.ai** team for releasing Krea 2 to the open-source community. For any commercial licensing inquiries or details about the model, please visit [krea.ai](https://www.krea.ai).

config.json

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+{
+  "model_type": "krea2",
+  "format": "safetensors",
+  "quantization": "fp8",
+  "torch_dtype": "float8_e4m3fn",
+  "library": "comfyui",
+  "base_model": "Krea 2 OSS Turbo",
+  "description": "Metadata file added so Hugging Face can track downloads for this ComfyUI FP8 safetensors model repository."
+}

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+      "type": "PreviewImage",
+      "pos": [
+        774,
+        284
+      ],
+      "size": [
+        489,
+        369
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 4
+        }
+      ],
+      "outputs": [],
+      "properties": {
+        "Node name for S&R": "PreviewImage"
+      },
+      "widgets_values": [],
+      "title": "Preview Image"
+    },
+    {
+      "id": 14,
+      "type": "Note",
+      "pos": [
+        -546,
+        283
+      ],
+      "size": [
+        301,
+        237
+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "Required downloads:\n1. Text Encoder:\n   Comfy-Org/Qwen3-VL → text_encoders/\n   qwen3vl_4b_fp8_scaled.safetensors\n2. VAE:\n   Comfy-Org/Qwen-Image_ComfyUI\n   → vae/qwen_image_vae.safetensors\n3. UNET:\n   AlperKTS/Krea2_FP8\n   → unet/krea2_turbo_fp8.safetensors"
+      ],
+      "title": "Downloads",
+      "color": "#432",
+      "bgcolor": "#653"
+    }
+  ],
+  "links": [
+    [
+      1,
+      1,
+      0,
+      2,
+      0,
+      "MODEL"
+    ],
+    [
+      2,
+      2,
+      0,
+      3,
+      0,
+      "LATENT"
+    ],
+    [
+      3,
+      4,
+      0,
+      3,
+      1,
+      "VAE"
+    ],
+    [
+      4,
+      3,
+      0,
+      5,
+      0,
+      "IMAGE"
+    ],
+    [
+      5,
+      6,
+      0,
+      2,
+      1,
+      "CONDITIONING"
+    ],
+    [
+      8,
+      8,
+      0,
+      2,
+      2,
+      "CONDITIONING"
+    ],
+    [
+      11,
+      10,
+      0,
+      2,
+      3,
+      "LATENT"
+    ],
+    [
+      12,
+      6,
+      0,
+      8,
+      0,
+      "CONDITIONING"
+    ],
+    [
+      14,
+      13,
+      0,
+      6,
+      0,
+      "CLIP"
+    ]
+  ],
+  "groups": [
+    {
+      "title": "Krea 2 OSS - Native ComfyUI (0.25.0+)",
+      "bounding": [
+        -600,
+        60,
+        1880,
+        760
+      ],
+      "color": "#3f789e",
+      "font_size": 24
+    }
+  ],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 1.0,
+      "offset": [
+        600,
+        -160
+      ]
+    },
+    "workflow_notes": "Native ComfyUI 0.25.0+ Krea2 workflow. Uses official CLIPLoader/UNETLoader nodes. Requires 3 model files (see Note node)."
+  },
+  "version": 0.4
+}