---
title: Pornmaster Krea2
emoji: 🏆
colorFrom: indigo
colorTo: yellow
sdk: gradio
sdk_version: 6.22.0
python_version: '3.12'
app_file: app.py
pinned: false
short_description: Krea 2 PornMaster finetune space.
---

# Pornmaster Krea 2

Krea 2 Turbo text-to-image on Gradio, running the ComfyUI backend directly
(no ComfyUI server, no custom nodes). Deploy on **ZeroGPU** hardware.

Workflow: [`image_krea2_turbo_t2i.json`](https://github.com/Comfy-Org/workflow_templates/blob/main/templates/image_krea2_turbo_t2i.json)
Pattern: [Run ComfyUI workflows for free with Gradio on Hugging Face Spaces](https://huggingface.co/blog/run-comfyui-workflows-on-spaces)

## How it works

- `app.py` clones the ComfyUI backend (once), downloads the models, loads them
  at module scope, and runs the flattened workflow via direct node calls inside
  `generate_image()`, decorated with `@spaces.GPU`.
- UNet (diffusion model) comes from **CivitAI**: PornMaster-Krea2
  ([model 2735032](https://civitai.com/models/2735032), version V2.5 Turbo / 3171380, fp8).
  Companion models (text encoder, VAE, LoRA) come from
  [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2), which is not gated.

### CivitAI version ladder

V2.5 (3171380) is currently **Early Access** on CivitAI (needs Buzz to unlock),
so the app automatically tries, in order:

1. `CIVIT_MODEL_VERSION` (default `3171380`, V2.5 Turbo fp8)
2. `CIVIT_FALLBACK_VERSION` (default `3112108`, Turbo V2 FP8) - downloads fine today
3. Stock `krea2_turbo_fp8_scaled.safetensors` from Comfy-Org (last resort)

Once V2.5 is unlocked on the CivitAI account, it is used automatically (no code
change needed). Set `CIVIT_MODEL_VERSION=3112108` on the Space to force V2.

## Setup

1. Create a Space with **Gradio SDK** (already configured in this repo).
2. Set hardware to **ZeroGPU** (`large` is fine). ZeroGPU PRO or grant required.
3. Add the CivitAI API key as a Space secret named **`CIVIT_API_KEY`**.
4. First cold start downloads ~17.4 GB of models (5-10 min) and clones ComfyUI.
   After that, ZeroGPU keeps the container disk, so resumes are fast.

## Notes / tuning

- **`duration`**: `@spaces.GPU(duration=120)`. Measure worst-case wall time and
  set `duration = measured * 1.4`. LLM prompt enhancement adds 20-60 s.
- **ZeroGPU sizing**: `size="large"` is the default (48 GB VRAM slice on
  Blackwell). Only switch to `xlarge` (2x quota) if it OOMs.
- **Return values**: numpy arrays are returned (never CUDA tensors), required
  across the ZeroGPU fork boundary.
- **No HF token needed**: none of the model repos are gated.

## Why ComfyUI and not diffusers

Diffusers does have a `Krea2Pipeline`, but the official diffusers-format repos
(`krea/Krea-2-Turbo`) are gated and 26 GB bf16, and there is no tooling to load
raw CivitAI state dicts (single-file checkpoints) with diffusers for Krea 2.
The ComfyUI backend loads the CivitAI `.safetensors` directly via `UNETLoader`
with automatic architecture detection, and Krea 2 LoRAs work natively.