| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-to-image |
| language: |
| - en |
| tags: |
| - LoRA |
| - LyCROIS |
| - LoKR |
| - training |
| - finetuning |
| pretty_name: Krea 2 Raw samples |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: |
| - data/metadata.csv |
| - data/**/*.jxl |
| --- |
| This dataset is a highly diverse set of high quality images generated with [Krea 2 Raw](https://huggingface.co/krea/Krea-2-Raw). |
|
|
| **NOTE:** Raw is **not** intended for image generation, so do not use these images to judge the quality of the model. |
| Raw is intended for training, as are the samples in this dataset as they can be used for regularization. |
|
|
| # Possible uses |
|
|
| - Regularization images for training models based on Krea 2 Raw |
| - Quality testing |
|
|
| # Data source |
|
|
| The images were created in [ComfyUI](https://www.comfy.org/) with the |
| [bf16 version](https://huggingface.co/Comfy-Org/Krea-2/blob/main/diffusion_models/krea2_raw_bf16.safetensors) |
| of Krea 2 Raw. For each prompt were four images generated, all are (without any cherry picking) included in the corresponding dataset directories. |
|
|
| - bf16 - published full model weights |
| - 1024x1024 pixels - native resolution for 1:1 aspect ratio images |
| - batch size = 4 |
| - fixed seed (seed = 1) |
| - workflow is the ComfyUI default for Krea 2 |
| - 52 steps (as used by Krea at their [Huggingface model documentation](https://huggingface.co/krea/Krea-2-Raw)) |
| - CGF = 3.5 (as used by Krea) |
| - sampler: Euler |
| - scheduler: simple |
|
|
| # Data content |
|
|
| The data attempts to cover a very wide range of concepts. They are categorized into: |
|
|
| - animals & creatures (Biological Diversity) (4x 80 images) |
| - architecture (4x 60 images) |
| - clothing (4x 70 images) |
| - composition (4x 40 images) |
| - DiffusionDB, originals ones and prompts but refined by a LLM (4x 170 images) |
| - dynamic poses (4x 80 images) |
| - hands (4x 80 images) |
| - handicraft (4x 20 images) |
| - humans (4x 80 images) |
| - interaction (4x 40 images) |
| - landscape (4x 20 images) |
| - logo, English (4x 80 images) |
| - noteable persons (4x 17 images) |
| - objects (4x 100 images) |
| - style (4x 80 images) |
| - Chinese text (4x 100 images) |
| - English text (4x 100 images) |
|
|
| In total are 1217 different prompts in the dataset with 4 images each, resulting in 4x 1217 = 4868 images. |
| Contact prints for each category are at https://huggingface.co/datasets/stablellama/Krea-2-Raw_samples/tree/main/contact_print |
|
|
| The images are stored in lossless compressed JPEG XL format. |
|
|
| **NOTE:** Krea 2 Raw does tend to create good as well as bad images (e.g. buildings with bad lines). This can easily be seen in |
| the provided images where each batch of 4 images is uploaded without any cherry picking. This implies, that when you want to use these images as regularization |
| data for LoRA training, you should filter the images you are using. You can also use the |
| [stablellama/Krea-2-Raw_samples_Best_of](https://huggingface.co/datasets/stablellama/Krea-2-Raw_samples_Best_of) |
| dataset, which is already manually filtered and contains only one image per prompt. |
