type: custom

customType: model-snapshot

provider: zai

modelApi: openai-completions


type: message

role: user

type: text

text:
[cron:bb08392d-b9fb-40c6-8cc3-163a764c847d selena-heartbeat-30m-qwen] Run heartbeat check (read HEARTBEAT.md). If actionable tasks are found, execute them. If nothing to do, reply with NO_REPLY. Do NOT say HEARTBEAT_OK.
Current time: Friday, March 6th, 2026 — 10:12 PM (UTC)

Return your summary as plain text; it will be delivered automatically. If the task explicitly calls for messaging a specific external recipient, note who/where it should go instead of sending it yourself.


role: assistant

type: thinking

thinking: I need to read HEARTBEAT.md to see if there are any actionable tasks for me to execute.

read

type: toolCall

api: openai-completions

stopReason: toolUse


role: toolResult

toolName: read

text:
# HEARTBEAT.md

# Keep this file empty (or with only comments) to skip heartbeat API calls.

# Tasks to check during heartbeat:
# - Pending generation requests from other agents
# - ComfyUI status (if running)
# - Model download progress
# - Disk space for outputs


thinking:
The HEARTBEAT.md file is essentially empty (just comments with suggested tasks). The comments suggest checking:
- Pending generation requests from other agents
- ComfyUI status (if running)
- Model download progress
- Disk space for outputs

Let me check if there are any pending tasks or memory notes that indicate something needs to be done. I should also check TASKS.md if it exists.


text:
# TASKS.md - Active Task State

| ID | Request | Status | Next | Blocked By |
|----|---------|--------|------|------------|
| T1 | Wan 2.2 I2V pipeline setup | done | Test with user video | — |
| T2 | Inter-agent comms setup | done | — | — |
| T3 | Canna blog headers (11x) | done | — | — |
| T4 | Cat poop i2v video | blocked | Retry when VRAM free | ACE-Step/VRAM |
| T5 | Canna SEO content images (12x) | done | — | — |
| T6 | Weekend Deals blog hero | done | — | — |
| T7 | ATF/Gun Rights blog hero | done | — | — |

<!-- Status: pending | active | done | blocked -->
<!-- Update this table on every task start, completion, or block -->


status: error

tool: read

error: ENOENT: no such file or directory, access '/home/crogers2287/.openclaw/agents/selena/memory/2026-03-06.md'


thinking:
TASKS.md shows all tasks are either done or blocked. The blocked task (T4: Cat poop i2v video) is waiting on VRAM availability - ACE-Step is using it.

Let me check if there's a memory file from yesterday or any pending items. Let me also quickly check sessions_list to see if there are any pending requests from other agents.


kind: other

channel: unknown

label: Cron: selena-heartbeat-30m-qwen

displayName: Cron: selena-heartbeat-30m-qwen

channel: telegram

accountId: clinker

lastChannel: telegram

lastAccountId: clinker

label: Cron: cardone-heartbeat-30m-qwen

displayName: Cron: cardone-heartbeat-30m-qwen

label: Cron: clinker-heartbeat-30m-qwen

displayName: Cron: clinker-heartbeat-30m-qwen

accountId: grant

lastAccountId: grant

label: Cron: total-recall-reflector

displayName: Cron: total-recall-reflector


error: ENOENT: no such file or directory, access '/home/crogers2287/.openclaw/agents/selena/memory/2026-03-05.md'


thinking:
Looking at the sessions list, I don't see any pending requests specifically for selena. I see other agents (clinker, cardone, maya, grant) but no active requests from them to me.

The TASKS.md shows:
- T1 (Wan 2.2 I2V): done
- T2 (Inter-agent comms): done
- T3 (Canna blog headers): done
- T4 (Cat poop i2v): blocked by ACE-Step/VRAM
- T5 (Canna SEO images): done
- T6 (Weekend Deals blog hero): done
- T7 (ATF/Gun Rights blog hero): done

The only blocked task is T4, and it's waiting for VRAM to free up (ACE-Step is using it). There's nothing actionable I can do about that right now.

Let me check if there's any other place I should look - maybe SESSION-STATE.md or MEMORY.md for any pending items.


error: ENOENT: no such file or directory, access '/home/crogers2287/.openclaw/agents/selena/SESSION-STATE.md'


thinking: No SESSION-STATE.md exists. Let me check MEMORY.md quickly to see if there are any pending items mentioned there.


text:
# MEMORY.md - Long-Term Knowledge

## Model Selection Guide

### Image Generation - Quick Reference

| Use Case | Recommended Model | VRAM | Speed |
|----------|-------------------|------|-------|
| Fast prototyping | FLUX.1-schnell | 12GB+ | Fast |
| Best quality | FLUX.1-dev | 16GB+ | Slow |
| Low VRAM | SDXL + Juggernaut | 8GB+ | Medium |
| Very low VRAM | SD 1.5 | 4GB+ | Fast |
| Anime/stylized | SDXL + LoRAs | 8GB+ | Medium |
| Photorealism | FLUX or Juggernaut | 12GB+ | Varies |

### Video Generation - Quick Reference

| Use Case | Recommended Model | VRAM | Duration |
|----------|-------------------|------|----------|
| Quick iterations | LTXVideo | 12GB+ | Variable |
| High quality short | Mochi 1 | 24GB+ | 5s |
| Cinematic | HunyuanVideo | 80GB | 15s |
| Human-focused | SkyReels V1 | 24GB+ | 12s |
| SD animation | AnimateDiff | 8GB+ | Variable |

### TTS - Quick Reference

| Use Case | Recommended | Notes |
|----------|-------------|-------|
| Voice cloning | XTTS v2 | 6s sample needed |
| Fast synthesis | Kokoro | 82M params, very fast |
| Expressive | FishAudio S1 | Emotion control |
| Dialogue/podcast | Dia2 | Multi-speaker |
| Long-form | VibeVoice | Up to 90 minutes |

---

## Prompt Engineering Tips

### Stable Diffusion / SDXL
```
Quality boosters: masterpiece, best quality, highly detailed, 8k
Negative: blurry, low quality, watermark, text, deformed

Structure: [subject], [action/pose], [setting], [style], [lighting], [quality tags]

Example: "a cyberpunk hacker, typing on holographic keyboard, neon-lit server room, cinematic lighting, volumetric fog, masterpiece, 8k"
```

### FLUX
- More natural language friendly
- Less need for quality tags
- Better at following complex prompts
- Specify aspect ratio explicitly

```
Example: "Photograph of a vintage coffee shop interior, morning sunlight streaming through large windows, dust particles in the air, film grain, Kodak Portra 400"
```

### ControlNet Best Practices
- **Depth**: Preserve spatial relationships
- **OpenPose**: Character poses
- **Canny/LineArt**: Edge-guided generation
- **Scribble**: Quick sketches to images

---

## Workflow Patterns

### Basic Text-to-Image
```
[CLIP Encode] → [KSampler] → [VAE Decode] → [Save Image]
```

### Image-to-Image
```
[Load Image] → [VAE Encode] → [KSampler (denoise < 1.0)] → [VAE Decode]
```

### Upscale Pipeline
```
[Load Image] → [Upscale Model] → [KSampler (low denoise)] → [Save Image]
```

### ControlNet Pipeline
```
[Load Image] → [Preprocessor] → [ControlNet Apply] → [KSampler]
```

### Video from Images (LTX)
```
[Load Images] → [LTX Encode] → [Sample] → [LTX Decode] → [Video Combine]
```

---

## Common Issues & Solutions

### Out of Memory (OOM)
1. Reduce resolution
2. Use fp16 instead of fp32
3. Enable attention slicing
4. Use tiled VAE decode
5. Close other GPU applications

### Slow Generation
1. Use schnell/turbo variants
2. Reduce steps (20-30 is often enough)
3. Use LCM/Turbo samplers
4. Check for thermal throttling

### Inconsistent Faces
1. Use face-specific LoRAs
2. Add face restoration (GFPGAN, CodeFormer)
3. Use inpainting for face region
4. Try different seeds

### Video Artifacts
1. Increase frame overlap
2. Use temporal smoothing
3. Check motion intensity settings
4. Try different models

---

## Installation Commands

### Stability Matrix (Linux)
```bash
# Download from releases page or:
wget https://github.com/LykosAI/StabilityMatrix/releases/latest/download/StabilityMatrix-linux-x64.zip
unzip StabilityMatrix-linux-x64.zip
chmod +x StabilityMatrix
./StabilityMatrix
```

### ComfyUI (Manual)
```bash
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI
pip install -r requirements.txt
python main.py
```

### XTTS v2
```bash
pip install TTS
tts --text "Hello world" --model_name tts_models/multilingual/multi-dataset/xtts_v2 --out_path output.wav
```

### faster-whisper
```bash
pip install faster-whisper
# In Python:
from faster_whisper import WhisperModel
model = WhisperModel("large-v3", device="cuda")
segments, info = model.transcribe("audio.mp3")
```

### AudioCraft
```bash
pip install audiocraft
# In Python:
from audiocraft.models import MusicGen
model = MusicGen.get_pretrained('facebook/musicgen-medium')
model.generate(['epic orchestral battle music'], duration=30)
```

---

## Hardware Installed

*(Update this section after detecting local hardware)*

- **GPU**: [Not yet detected]
- **VRAM**: [Not yet detected]
- **RAM**: [Not yet detected]
- **Storage**: [Not yet detected]

---

## Product Placement Pipeline (IC-Light FC) ✅ WORKING

### The Right Workflow
Use `product_iclight_fc.json` — IC-Light FC (Foreground Conditioned) properly integrates lighting.
**Do NOT use composite workflow** — that just hard-pastes the cutout, lighting looks wrong.

### API Submit Pattern
See `/home/crogers2287/.openclaw/agents/selena/submit_iclight.py` for full working example.

Key nodes in order:
`LoadImage → BiRefNetRMBG → ICLightApplyMaskGrey → VAEEncode`
`CheckpointLoaderSimple → LoadAndApplyICLightUnet`
`CLIPTextEncode (pos+neg) → ICLightConditioning → KSampler → VAEDecode → SaveImage`

### Verified Node Input Names
- `LoadAndApplyICLightUnet`: inputs = `model`, `model_path` → use `iclight_sd15_fc_unet_ldm.safetensors`
- `ICLightApplyMaskGrey`: inputs = `image`, `alpha` (alpha = MASK slot 1 from BiRefNetRMBG)
- `ICLightConditioning`: inputs = `positive`, `negative`, `vae`, `foreground`, `multiplier`; optional: `opt_background`
- `BiRefNetRMBG` outputs: IMAGE (slot 0), MASK (slot 1), MASK_IMAGE (slot 2)
- Checkpoint: `RealisticVision_V6_fp16.safetensors` (SD1.5 based, required for IC-Light)

### Settings That Work
- Steps: 25, CFG: 2.0, sampler: dpmpp_2m karras, denoise: 1.0

### Outputs
- Outputs: `/home/crogers2287/ComfyUI/output/`
- Users view via: http://fred:8188 (History tab) — cannot push images from Selena session

---

## Chelsea Schnepp — Group Chat
- Chelsea will request product placement images in group chat with Chad
- Workflow: ask product type/image + scene style → run IC-Light FC → point to http://fred:8188
- Good scene prompts: luxury marble, spa/plants, morning vanity, moody/dark, outdoor, tech desk, travel

---

## Wan 2.2 Two-Pass I2V Workflow ✅ WORKING

### Setup
- Custom node: `ComfyUI-WanVideoWrapper` (installed)
- Models in `models/diffusion_models/WanVideo/2_2/`:
  - `Wan2_2-I2V-A14B-HIGH_fp8_e4m3fn_scaled_KJ.safetensors` (14GB)
  - `Wan2_2-I2V-A14B-LOW_fp8_e4m3fn_scaled_KJ.safetensors` (14GB)
- VAE: `models/vae/wanvideo/Wan2_1_VAE_bf16.safetensors` (243MB)
- T5: `models/text_encoders/umt5-xxl-enc-fp8_e4m3fn.safetensors` (6.3GB)
- CLIP: `models/clip_vision/open-clip-xlm-roberta-large-vit-huge-14_visual_fp16.safetensors` (1.2GB)

### API Submit Script
`/home/crogers2287/.openclaw/agents/selena/submit_wan22_v4.py`

### Two-Pass Settings
- **Pass 1 (HIGH)**: Steps 0-3, CFG 1.5 → forces motion
- **Pass 2 (LOW)**: Steps 3-6, CFG 1.0 → refines detail
- Use `attention_mode: sdpa` (sageattn not installed)
- Block swap: 20 blocks for 24GB VRAM

### Prompting
- 80-100 words, explicit camera constraints
- Always include: "Static camera shot. ... The camera remains perfectly still. No zooming, no panning."

---

## Projects Log

*(Track major generation projects here)*

---

*Last updated: 2026-02-18*


thinking:
MEMORY.md is reference documentation, not a task list. All tasks in TASKS.md are either done or blocked (T4 blocked by VRAM). No pending requests from other agents.

There's nothing actionable for me to do right now. The heartbeat instructions say:
- If nothing to do, reply with NO_REPLY
- Do NOT say HEARTBEAT_OK

So I should reply with NO_REPLY.

stopReason: stop