diff --git a/README.md b/README.md
index 9c88af2..fe84561 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,12 @@
 # Imagen
 
-MCP server for generating pixel-art sprites using FLUX.2-klein-4B + [pixel-art-lora](https://huggingface.co/Limbicnation/pixel-art-lora).
+MCP server for generating pixel-art sprites with transparent backgrounds. Bring your own model — any [diffusers](https://github.com/huggingface/diffusers)-compatible text-to-image pipeline works.
+
+> The default configuration uses [FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B) + [pixel-art-lora](https://huggingface.co/Limbicnation/pixel-art-lora), but you can swap in any model you like.
 
 ## Features
 
+- **Bring your own model** — any diffusers-compatible pipeline (FLUX, SDXL, SD3, etc.)
 - **Text-to-sprite generation** — describe any character, get a pixel-art PNG
 - **Transparent background** — automatic background removal via flood-fill
 - **Pixel-art effect** — downscale/upscale with NEAREST interpolation
@@ -21,28 +24,42 @@ source venv/bin/activate
 pip install -r requirements.txt
 ```
 
-### 2. Download models
+### 2. Download a model
+
+You need a base text-to-image model. Optionally, a LoRA adapter for pixel-art style.
+
+**Example: FLUX.2-klein-4B + pixel-art-lora (default)**
 
 ```bash
-# Create models directory
 mkdir -p ~/models
 
-# Download base model (~23 GB)
+# Base model (~23 GB)
 huggingface-cli download black-forest-labs/FLUX.2-klein-4b \
     --local-dir ~/models/flux2-klein-4b
 
-# Download LoRA adapter (~625 MB)
+# LoRA adapter (~625 MB) — optional but recommended for pixel-art
 huggingface-cli download Limbicnation/pixel-art-lora \
     --local-dir ~/models/pixel-art-lora
 ```
 
-### 3. Configure paths (optional)
+**Other models that work:**
+
+| Model | Size | LoRA support | Notes |
+|---|---|---|---|
+| [FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4b) | ~23 GB | Yes | Default, distilled (4 steps) |
+| [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) | ~23 GB | Yes | More detail, slower (20+ steps) |
+| [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) | ~7 GB | Yes | Lighter, good for 8 GB VRAM |
+| [SD3.5-large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) | ~16 GB | Yes | Good quality/speed balance |
+
+> **Note:** You may need to adjust `LORA_SCALE` and pipeline class in `server.py` depending on your model. See [Configuration](#configuration).
+
+### 3. Configure paths
 
 By default, models are expected at `~/models/`. Override with environment variables:
 
 ```bash
-export IMAGEGEN_MODEL_DIR=/path/to/flux2-klein-4b
-export IMAGEGEN_LORA_DIR=/path/to/pixel-art-lora
+export IMAGEGEN_MODEL_DIR=/path/to/your/base-model
+export IMAGEGEN_LORA_DIR=/path/to/your/lora        # optional, set empty to disable
 export IMAGEGEN_OUTPUT_DIR=/path/to/output
 ```
 
@@ -79,7 +96,7 @@ Generate a single pixel-art sprite.
 | `seed` | int? | null | Seed for reproducibility |
 | `width` | int | 512 | Image width |
 | `height` | int | 512 | Image height |
-| `steps` | int | 4 | Inference steps (FLUX.2-klein is distilled) |
+| `steps` | int | 4 | Inference steps (lower = faster, less detail) |
 | `remove_bg` | bool | true | Remove background, make transparent |
 | `pixel_size` | int | 4 | Pixel block size (0 = off, 4 = chunky pixel-art) |
 
@@ -87,26 +104,45 @@ Generate a single pixel-art sprite.
 
 Generate multiple sprites in one call. Accepts a list of specs with the same parameters.
 
+## Configuration
+
+### Environment variables
+
+| Variable | Default | Description |
+|---|---|---|
+| `IMAGEGEN_MODEL_DIR` | `~/models/flux2-klein-4b` | Path to base model |
+| `IMAGEGEN_LORA_DIR` | `~/models/pixel-art-lora` | Path to LoRA adapter |
+| `IMAGEGEN_OUTPUT_DIR` | `./output` | Default output directory |
+
+### Swapping models
+
+The server is configured for FLUX.2-klein by default. To use a different model, edit `server.py`:
+
+1. **Pipeline class** — replace `Flux2KleinPipeline` with your model's pipeline (e.g. `StableDiffusionXLPipeline` for SDXL)
+2. **LoRA scale** — adjust `LORA_SCALE` (rsLoRA needs ~0.1, regular LoRA typically 0.7-1.0)
+3. **Guidance scale** — distilled models ignore it; standard models need 5-8
+4. **Steps** — distilled models work at 4; standard models need 20-30
+
 ## How It Works
 
-1. **Generation** — FLUX.2-klein-4B (4B params, distilled to 4 steps) with pixel-art LoRA (scale 0.1 for rsLoRA compatibility)
+1. **Generation** — text-to-image model generates a 512x512 image
 2. **Pixelation** — downscale with LANCZOS, upscale with NEAREST → chunky pixel-art blocks
-3. **Background removal** — detect border color, normalize to magenta fill, flood-fill from edges → transparent PNG
+3. **Background removal** — detect border color, normalize to solid fill, flood-fill from edges → transparent PNG
 
 ## Requirements
 
-- **GPU:** NVIDIA with >= 8 GB VRAM (uses CPU offload)
+- **GPU:** NVIDIA with >= 8 GB VRAM (uses CPU offload automatically)
 - **Python:** 3.12+
 - **CUDA:** 12.0+
 
 ## Credits
 
-- Base model: [FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B) by Black Forest Labs (Apache 2.0)
-- LoRA: [pixel-art-lora](https://huggingface.co/Limbicnation/pixel-art-lora) by Limbicnation (Apache 2.0)
+- Default model: [FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B) by Black Forest Labs (Apache 2.0)
+- Default LoRA: [pixel-art-lora](https://huggingface.co/Limbicnation/pixel-art-lora) by Limbicnation (Apache 2.0)
 - MCP SDK: [modelcontextprotocol/python-sdk](https://github.com/modelcontextprotocol/python-sdk)
 
 ## License
 
 MIT — see [LICENSE](LICENSE)
 
-Model licenses are separate (Apache 2.0). Check model cards for details.
+Model licenses are separate from this project. Check each model's license card for usage terms.