Official ComfyUI wiki tutorial covering node-based prompt construction, CLIP text encoding, conditioning nodes, prompt scheduling, and how to build complex multi-prompt workflows visually.
ComfyUI Prompt Workflow Guide: 1. **CLIP Text Encode Node**: Convert text prompts to conditioning tensors 2. **Positive & Negative Conditioning**: Separate nodes for positive and negative prompts 3. **Prompt Scheduling**: Use different prompts at different denoising steps 4. **Multi-Prompt Workflows**: Combine multiple conditioning nodes 5. **LoRA Loading**: Load LoRA models that modify prompt interpretation 6. **CLIP Skip**: Skip last N CLIP layers for style variation 7. **Prompt Merging**: Weighted blend of multiple prompt conditions Node Flow: Load Checkpoint → CLIP Text Encode (positive) → CLIP Text Encode (negative) → KSampler → VAE Decode → Save Image
Design and optimize ComfyUI node workflows for Stable Diffusion. Covers ControlNet, IP-Adapter, inpainting, upscaling, and multi-pass generation pipelines.
Generate stunning photorealistic portraits with SDXL. Covers lighting setups, camera simulation, skin texture, and professional photography techniques.
Comprehensive prompt engineering guide covering subject description, style keywords, quality modifiers, negative prompts, prompt weighting syntax, and SDXL-specific techniques. The most frequently referenced SD prompt resource online.
Detailed guide for crafting textual descriptions specifically for SDXL image generation, covering the dual-encoder system, optimal prompt lengths, and style-specific formulas for photorealism, illustration, and concept art.
Technical deep-dive into prompt engineering covering token limits, attention mechanisms, prompt weighting with parentheses and numerical values, embedding manipulation, and A/B testing different prompt structures with reproducible experiments.
Covers the full prompt engineering workflow including subject specification, style references, quality boosters, camera and lighting terminology, negative prompt strategies, and CFG scale tuning for different prompt styles.