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| 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. | |