AI Art FAQ: Style, Quality, and Workflow Tips

Q: How do I get a specific art style?

Include the style directly in your prompt: "oil painting in the style of impressionism," "pixel art," "watercolor illustration," "photorealistic 8K." You can also use LoRA weights trained on specific styles for more consistent results. See the ComfyUI guide for loading LoRAs.

Q: Why do faces look distorted in my images?

Face distortion is common with base models at low resolutions. Fixes:

• Use a face-fix model like GFPGAN or CodeFormer as a post-processing step
• Generate at higher resolution – 1024×1024 produces better faces than 512×512
• Use a face-focused LoRA to improve facial consistency
• Try inpainting – regenerate just the face region at higher detail

Q: What is the difference between SD 1.5, SDXL, and FLUX?

• SD 1.5: The original, fast, runs on 4 GB VRAM, lower quality by today's standards
• SDXL: Much higher quality, native 1024×1024, needs 6–8 GB VRAM, large ecosystem of LoRAs and ControlNets
• FLUX: Newest generation, best prompt adherence and coherence, needs 10–12 GB VRAM, growing ecosystem

See our comparison post for detailed benchmarks.

Q: How do I write better prompts?

Structure your prompts in layers:

1. Subject: what you want to see ("a medieval knight")
2. Action/pose: what they are doing ("standing on a cliff edge")
3. Environment: where they are ("overlooking a misty valley")
4. Style: how it should look ("cinematic, dramatic lighting, film grain")
5. Technical: quality tags ("highly detailed, sharp focus, 8K")

Q: What is a negative prompt and do I need one?

A negative prompt tells the model what to avoid: "blurry, low quality, deformed hands, extra fingers." It is essential for SD 1.5 and SDXL. FLUX is less dependent on negative prompts but still benefits from them. Most Thumper workflows include good default negative prompts.

Q: How do I upscale AI images without losing quality?

Use an AI upscaler like RealESRGAN or SwinIR:

1. Generate your image at native resolution
2. Run it through the upscaler (4x is typical)
3. Optionally refine details with img2img at the new resolution

ComfyUI has upscaler nodes built in. The workflow library includes upscaling pipelines.

Q: Can I generate consistent characters across multiple images?

Yes, but it requires technique:

• LoRA training: Train a LoRA on 15–30 images of the character. See our fine-tuning guide.
• IP-Adapter: Use a reference image to guide the model (no training needed, less consistent)
• Seed locking: Same seed + similar prompt produces similar results

Q: How do I create seamless textures or tileable patterns?

Use the Tiling option in your checkpoint loader or sampler node. This wraps the latent space so edges match. Works best with simple patterns (fabric, stone, wood). Complex scenes are harder to tile convincingly.

For tiling workflows, check the ComfyUI workflow library.

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