diff --git a/README.md b/README.md
index 7f6b3c3..36e66e8 100644
--- a/README.md
+++ b/README.md
@@ -784,35 +784,109 @@ ComfyUI models typically need 4–8GB VRAM (SD 1.5: ~4GB, SDXL: ~7GB, Flux: ~12G
 
 ---
 
-## Using LoRA Models in InvokeAI
+## InvokeAI vs ComfyUI — which to use when
 
-LoRA (Low-Rank Adaptation) files let you customize image generation with fine-tuned styles or characters. If you trained a LoRA on RunPod or elsewhere, here's how to use it.
+Both are installed by the setup script. Here's when to use each:
 
-### Import a LoRA file
+| Task | InvokeAI (`:9090`) | ComfyUI (`:8188`) |
+|------|:---:|:---:|
+| Friendly UI, sliders, drag-and-drop | Yes | No (node editor) |
+| Use a LoRA you trained on RunPod | Yes — just import + select | Yes — but wire LoRA Loader node |
+| Same face, different settings (img2img) | Yes — Image to Image tab | Yes — IP-Adapter nodes |
+| Age/emotion/scene changes | Yes — img2img + prompt | Yes — IP-Adapter + prompt |
+| Chat-integrated image gen (from Open WebUI) | No (no OWUI API) | Yes (workflow export) |
+| Maximum flexibility / custom pipelines | No | Yes |
+| Learning curve | Low | High |
+
+**Bottom line:** Use InvokeAI for the interactive "play with images" workflow. Use ComfyUI only when you need Open WebUI chat integration or advanced node pipelines.
+
+## Using InvokeAI for image iteration
+
+InvokeAI is the easier path for what you want — take a reference image and generate variations with different settings, ages, emotions, art styles.
+
+### Step 1: Install a base model (required first)
+
+Before LoRAs or img2img will work, InvokeAI needs a base Stable Diffusion model.
 
 ```bash
-# Copy your LoRA into the InvokeAI Docker volume:
-./invokeai-import-lora.sh ~/Downloads/my-lora.safetensors
+# Option A: Download SD 1.5 (~4GB VRAM needed) via the container
+docker exec invokeai invokeai-model-install --add stabilityai/stable-diffusion-v1-5
 
-# Optionally give it a display name:
-./invokeai-import-lora.sh ~/Downloads/my-lora.safetensors "My Custom Style"
+# Option B: Download SDXL (~7GB VRAM needed)
+docker exec invokeai invokeai-model-install --add stabilityai/stable-diffusion-xl-base-1.0
 ```
 
-### Use the LoRA in InvokeAI
+Or use the UI: open `http://<ip>:9090` → **Model Manager** (cube icon) → **Starter Models** tab → install SD 1.5 or SDXL.
 
-1. Open InvokeAI at `http://<ip>:9090`
-2. Go to **Model Manager** (cube icon, left sidebar) and click **Scan for Models** / **Sync Models**
-3. Your LoRA should appear in the model list
-4. Switch to **Text to Image** tab
-5. In the left panel, find the **LoRA** section (below the model selector)
-6. Click **+** to add your LoRA, then adjust the **weight** slider (start at 0.7–0.85)
+> **6GB GPU note:** SD 1.5 fits comfortably. SDXL is tight — it may work with float16 (already set) but could be slow. Start with SD 1.5.
 
-### Troubleshooting greyed-out upload buttons
+### Step 2: Import your RunPod LoRA
 
-- **No base model installed:** You need a fully downloaded base model (e.g., SD 1.5) before InvokeAI enables LoRA uploads. Use Model Manager to install one first.
-- **Model not synced:** After copying files, click **Scan for Models** in Model Manager.
-- **Architecture mismatch:** A LoRA trained on SD 1.5 only works with SD 1.5 base models — not SDXL or SD 2.x.
-- **Use the import script instead:** The greyed-out UI upload can be bypassed entirely by using `invokeai-import-lora.sh` to copy files directly into the model volume.
+```bash
+# Copy the .safetensors file from wherever you downloaded it:
+./invokeai-import-lora.sh ~/Downloads/my-lora.safetensors "My Character"
+```
+
+Then in the InvokeAI UI:
+1. **Model Manager** (cube icon) → **Scan for Models**
+2. Your LoRA should appear in the list
+
+If it doesn't:
+- Click **Add Model** → **Scan Folder** → enter `/invokeai/models/lora`
+- Make sure the LoRA architecture matches your base model (SD 1.5 LoRA needs SD 1.5 base)
+
+### Step 3: Generate with your LoRA (text-to-image)
+
+1. Go to the **Text to Image** tab
+2. Select your **base model** (must match the LoRA's training base)
+3. In the left panel, expand the **LoRA** section (below model selector)
+4. Click **+** → select your LoRA → set weight to **0.7–0.85**
+5. Write a prompt: "portrait of [subject], smiling, studio lighting"
+6. Click **Invoke**
+
+### Step 4: Iterate on an image (img2img)
+
+This is where InvokeAI shines for your use case — take an image and riff on it:
+
+1. Switch to the **Image to Image** tab
+2. Drag your reference photo onto the canvas (or click to upload)
+3. Keep your LoRA active (same as above)
+4. Set the **Denoising Strength** slider:
+
+| Strength | Effect |
+|----------|--------|
+| 0.2–0.3 | Subtle tweaks — mostly keeps the original, minor style changes |
+| 0.4–0.5 | Moderate changes — recognizable but different mood/lighting |
+| 0.6–0.7 | Significant changes — same composition, new details/style |
+| 0.8–1.0 | Major rewrite — loosely inspired by original, mostly new |
+
+5. Change the prompt to describe what you want different:
+   - **Age up:** "same person, elderly, wrinkles, grey hair, wise expression"
+   - **Age down:** "same person as a young child, bright eyes, playground"
+   - **Emotion:** "same person, laughing joyfully" or "same person, crying, dramatic lighting"
+   - **Setting:** "same person, sitting in a Parisian cafe, afternoon light"
+   - **Art style:** "same person, oil painting, renaissance style, dramatic chiaroscuro"
+6. Click **Invoke** — iterate by adjusting strength and prompt
+
+### Step 5: Use the Unified Canvas for painting/inpainting
+
+For more control (paint over specific areas, extend an image):
+
+1. Switch to the **Unified Canvas** tab
+2. Upload or paste your image
+3. Use the **brush tool** to mask areas you want to change
+4. Write a prompt for just the masked area
+5. Invoke — only the masked area regenerates
+
+Example: mask just the background → prompt "tropical beach sunset" → keeps the face, replaces the background.
+
+### Troubleshooting
+
+- **Greyed-out upload/LoRA buttons:** Install a base model first (Step 1). InvokeAI disables most features until a checkpoint is loaded.
+- **Model not synced:** After copying files via script, click **Scan for Models** in Model Manager.
+- **Architecture mismatch:** A LoRA trained on SD 1.5 only works with SD 1.5 base models — not SDXL. Check what your RunPod training used.
+- **Out of VRAM:** Try SD 1.5 instead of SDXL, or reduce image size to 512x512.
+- **Use the import script:** The greyed-out UI upload can be bypassed entirely by using `invokeai-import-lora.sh` to copy files directly into the model volume.
 
 ---