acobham
5eb4426d30
- README: rewrite index to reflect actual files (STACK/CONTENT/OPTIMIZATION); remove 15 dead links to old numbered SOPs; add subdirectory table; update image gen to Google Imagen as default - STACK: fix wp-divi-pipeline script paths; genericize vibrantyou/domain examples; strip pre-existing em dashes throughout - CONTENT: update image generation default to Google Imagen API with allotted quota - image-gen-workflow: remove client-specific cobhamtech data; generalize brand palette step; update date - wp-divi-pipeline-to-am-stack: remove vibrantyou.yoga client data block; fix Related SOPs links to current files
47 lines
1.9 KiB
Markdown
47 lines
1.9 KiB
Markdown
# Local Image Generation: SOPs
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Complete reference for generating site images locally using ComfyUI.
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No cloud API required. No per-image cost. Runs on the Arising Media workstation.
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## Index
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1. [01-comfyui-setup.md](01-comfyui-setup.md): Installing ComfyUI, venv, GGUF node
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2. [02-flux-images.md](02-flux-images.md): FLUX.1 Schnell image generation pipeline
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3. [03-wan-video.md](03-wan-video.md): Wan 2.2 image-to-video pipeline
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4. [04-prompt-guide.md](04-prompt-guide.md): Prompt patterns for interior/carpet photography
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5. [05-quality-levers.md](05-quality-levers.md): Prompt, steps, model size: what to adjust and when
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## Quick start (images already set up)
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```bash
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# 1. Start ComfyUI
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tmux new-session -d -s comfyui \
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"cd ~/ComfyUI && venv/bin/python main.py --listen 0.0.0.0 --port 8188 --cpu 2>&1 | tee ~/comfyui.log"
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# 2. Wait ~30s, then generate images
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cd /home/sirdrez/arisingmedia-websites/{domain}
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python3 tools/gen-images-flux.py 2>&1 | tee tools/flux-gen.log
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# 3. Convert to WebP and deploy
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python3 tools/convert-to-webp.py
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rm assets/images/**/*.jpg
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docker compose build --no-cache web && docker compose up -d
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```
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## Model files (installed at ~/ComfyUI/models/)
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| Purpose | File | Size | Location |
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| FLUX image UNet | flux1-schnell-Q8_0.gguf | 12GB | models/unet/ |
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| FLUX T5 encoder | t5xxl_fp8_e4m3fn.safetensors | 4.6GB | models/clip/ |
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| FLUX CLIP-L | clip_l.safetensors | 235MB | models/clip/ |
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| FLUX VAE | ae.safetensors | 108MB | models/vae/ |
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| Wan 2.2 video | Wan2.2-TI2V-5B-Q4_K_M.gguf | 3.2GB | models/diffusion_models/ |
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| Wan UMT5 encoder | umt5_xxl_fp8_e4m3fn_scaled.safetensors | 6.3GB | models/clip/ |
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| Wan VAE | wan_2.1_vae.safetensors | 243MB | models/vae/ |
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## Reference project
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`lahrcarpetcleaning.com`: first project using this full pipeline.
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Scripts: `tools/gen-images-flux.py`, `tools/gen-video-wan.py`, `tools/convert-to-webp.py`
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