---
license: other
license_name: krea-2-community
license_link: https://www.krea.ai/krea-2-licensing
pipeline_tag: text-to-image
library_name: diffusers
base_model: krea/Krea-2-Raw
base_model_relation: finetune
tags:
  - text-to-image
  - flow-matching
  - krea
---

# Krea 2 Base — Diffusers (working conversion)

A **diffusers-loadable** conversion of the Krea 2 **Base/RAW** checkpoint that loads cleanly with
`diffusers.Krea2Transformer2DModel` / `Krea2Pipeline` (transformer keys renamed to the diffusers
layout, per-block modulation table reshaped, and the two final-layer `up`/`down` weights dropped to
match the diffusers Krea2 port). The `vae`, `text_encoder`, `tokenizer` and `scheduler` are the
standard diffusers components.

Intended for **fine-tuning / LoRA training** (train on Base/RAW, run inference on Krea 2 Turbo).

```python
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("ethanfel/Krea-2-Base-Diffusers", torch_dtype=torch.bfloat16)
```

In ai-toolkit (krea2 branch), set `model.name_or_path: "ethanfel/Krea-2-Base-Diffusers"` and
`model.arch: "krea_2"`.

Converted with `scripts/convert_krea2_community_to_diffusers.py`. Weights are redistributed under the
[Krea 2 Community License](https://www.krea.ai/krea-2-licensing).