Update README.md

README.md

@@ -125,7 +125,82 @@ docker exec ai-llm-ollama-1 ollama pull llava:7b            # vision/screenshots
 
 First model for InvokeAI — go to `images.mydomain.com` → Model Manager → search `sd-1.5-inpainting` → Install.
 
-## SearXNG first-time fix
+## InvokeAI Usage Guide
+
+### Installing your first model
+1. Open `https://images.mydomain.com`
+2. Click **Model Manager** (left sidebar)
+3. Click **HuggingFace**
+4. Search: `runwayml/stable-diffusion-inpainting`
+5. Click Install — downloads automatically
+
+### Text to Image (like ChatGPT image generation)
+1. Click the **canvas icon** (left sidebar)
+2. Make sure model is selected at top (e.g. `sd-1.5-inpainting`)
+3. Type your prompt in the prompt box
+4. Click **Invoke**
+5. Results appear in the gallery (right side)
+
+Key settings to learn:
+- **Steps** — higher = more refined, slower (20-30 is good)
+- **CFG Scale** — how closely to follow the prompt (7-9 is good)
+- **Seed** — lock it to reproduce the exact same image
+
+### Inpainting (fixing details in an existing image)
+1. Open an image from the gallery or upload one
+2. Click **Send to Canvas**
+3. Select the **Brush** tool
+4. Paint a mask over the area you want to change (face, hand, background)
+5. Type what you want in that area in the prompt
+6. Adjust **Denoising Strength** — lower (0.3-0.5) = subtle, higher (0.7+) = more creative
+7. Click **Invoke**
+8. The masked area is regenerated, rest of image stays intact
+
+Tips:
+- Use **Inpaint at Full Resolution** for face/hand details
+- Keep denoising low (0.3-0.4) for seamless blending
+- Mask blur of 4-8px softens the edge between inpainted and original
+
+### Using an image as a base (img2img)
+1. Upload or select an image from gallery
+2. Click **Send to Canvas**
+3. Change mode to **Image to Image**
+4. Type your prompt describing what you want
+5. Adjust **Denoising Strength**:
+   - Low (0.3) = keeps original, subtle changes
+   - High (0.8) = major transformation
+6. Click **Invoke**
+
+### Consistent character images (for product lines)
+To maintain a consistent character across many images:
+
+**Method 1 — Seed locking:**
+- Generate until you get the character you want
+- Note the seed number
+- Lock the seed — same seed = same character base every time
+- Change only the prompt details (pose, background, clothing)
+
+**Method 2 — Reference image + low denoising:**
+- Use your established character image as the base
+- Set denoising to 0.3-0.4
+- Change prompt to describe the new scene/pose
+- Character features stay consistent, context changes
+
+**Method 3 — LoRA models:**
+- Train or download a LoRA for your specific character
+- Load the LoRA in Model Manager
+- Add the LoRA trigger word to your prompt
+- Most consistent method for commercial product lines
+- LoRAs available at civitai.com
+
+### Workflow for best results
+1. Generate several variations (change seed each time)
+2. Pick the best base image
+3. Lock the seed
+4. Inpaint problem areas (faces, hands, backgrounds)
+5. Use img2img for scene variations with same character
+6. Upscale final image for print quality
+
 SearXNG's wikidata engine fails on startup due to external blocks. Disable it:
 
 ```bash