---
license: mit
tags:
  - lora
  - krea2
  - krea
  - text-to-image
  - comfyui
base_model: Krea/Krea-2
---

# Kroma v0.1 — LoRA for Krea 2

**Kroma** is a LoRA fine-tune for **Krea 2**, packaged as a single ComfyUI-compatible
`safetensors` file. It was rank reduced down to **rank 256 / alpha 256** and also carries the
fully-fine-tuned normalization and modulation tensors as weight deltas, so it
reproduces the original fine-tuned behaviour when loaded on top of the base model.

- **File:** `kroma-v0.1.safetensors` (~1.88 GB)
- **Type:** LoRA (264 adapters) + `.diff` weight deltas (159 RMSNorm / modulation tensors)
- **License:** MIT

> **Note on the format:** unlike a "pure" LoRA, this file also includes full-weight
> deltas for the trained RMSNorm scales and modulation tensors (stored as `.diff`).
> ComfyUI's `LoraLoader` applies these automatically, so no special handling is needed.

---

## Running in ComfyUI

### 1. Requirements
- A recent **ComfyUI** with native **Krea 2** support (update to the latest master).
- The **Krea 2** diffusion model, text encoder, and VAE.

### 2. Files to download
Place these in your ComfyUI folders:

| What | Where | Notes |
|------|-------|-------|
| `kroma-v0.1.safetensors` | `ComfyUI/models/loras/` | this repo |
| Krea 2 diffusion model | `ComfyUI/models/diffusion_models/` | base **or** Turbo (see below) |
| Krea 2 text encoder (Qwen3-VL) | `ComfyUI/models/text_encoders/` | load with CLIPLoader type `krea2` |
| Krea 2 VAE | `ComfyUI/models/vae/` | |

### 3. Base model — Base vs Turbo
Kroma works on both Krea 2 checkpoints. **Turbo is recommended** (fewer steps, ~6× faster,
and in practice just as good or better with this LoRA):

| Checkpoint | Steps | Guidance (CFG) | Shift (mu) |
|------------|-------|----------------|------------|
| **Krea-2-Turbo** (recommended) | **8** | **0.0 – 1.0** | **1.15** |
| Krea-2 base | 28 | 3.5 – 4.5 | ~1.15 |

> The Turbo sampling values (`steps=8`, `cfg≈0`, `mu=1.15`) are the settings the Turbo
> checkpoint was distilled for; keep them for best results.

### 4. Workflow
1. **Load Diffusion Model** → your Krea 2 (base or Turbo) checkpoint.
2. **Load CLIP** → the Krea 2 text encoder, set type to **`krea2`**.
3. **Load VAE** → the Krea 2 VAE.
4. **LoraLoader (Model only)** → select `kroma-v0.1.safetensors`, **strength_model = 1.0**.
   Insert it between the diffusion model loader and the sampler. (The `.diff` norm /
   modulation deltas are applied at the same strength; 1.0 reproduces the fine-tune exactly.)
5. **KSampler** → set steps / CFG / shift per the table above.
6. Prompt and generate.


### 5. Tips
- Start with **strength 1.0**; lower it (e.g. 0.7–0.9) if you want a subtler effect.
- If the output looks off, confirm the text encoder is loaded with type **`krea2`**
  (Krea 2 expects a 12-layer Qwen3-VL stack) and that you're on a current ComfyUI.

---

## Conversion / provenance
This LoRA was produced from a K2 (Krea 2) fine-tune checkpoint and converted into the
ComfyUI format: LoRA adapters use the native `diffusion_model.*` key naming, and the
fully-fine-tuned RMSNorm / modulation tensors are stored as `.diff` deltas against the
base model. Both are applied by ComfyUI's standard `LoraLoader`.

## License
**MIT** — see `LICENSE`. Note that the **base Krea 2 model** is governed by its own
license; this LoRA does not grant any rights to the base weights.