| # Prompting Prism / Qwen Image 2.1 | |
| Start with a concrete natural-language paragraph: medium, subject, action, | |
| relationships, composition, lighting, materials, then exact lettering. Keep each | |
| attribute next to the object it describes. The supplied workflows use 40 steps, | |
| Euler/simple, CFG 1, denoise 1, and fixed seeds. | |
| ## Text to image | |
| Describe a scene that can be depicted in one image. For a product photo, specify | |
| the object, material, label, supporting objects, surface, background and lighting. | |
| For a portrait, specify the action and framing as well as the person's appearance. | |
| The included product prompt is a complete starting point. | |
| Set output width and height in Empty Latent Image. The encoder's resolution field | |
| controls reference-image resizing, not the independent text-to-image canvas. | |
| Changing image dimensions may change composition even with the same seed. | |
| At CFG 1, the negative conditioning branch does not guide sampling. Put essential | |
| requirements in the positive prompt. Higher CFG is not a validated improvement | |
| for this package. | |
| ## Lettering | |
| Quote the exact text and specify its position and hierarchy. Example: | |
| > Large cream headline at the top reads exactly "TAKE THE SCENIC ROUTE". | |
| > A smaller line at the bottom reads exactly "SLOW TRAVEL CLUB". | |
| > Generous margins, flat navy, coral and cream inks, subtle paper grain. | |
| Proofread the result. Clear headings and short labels worked in the release | |
| examples, but the astronaut test also shows small-label spelling errors in the | |
| BF16 baseline. Neither precision is a guarantee of perfect text. | |
| ## Image editing | |
| Upload the reference in Load Image. Connect it and the matching VAE to | |
| TextEncodeQwenImage21. Use that node's latent output for sampling, so the output | |
| matches the processed first reference's size. The included editing workflow | |
| already has those connections. | |
| Name the changes and the elements to preserve: | |
| > Change the amber glass bottle to deep translucent cobalt-blue glass and the | |
| > brass cap to brushed silver. Replace the orange with lime and rosemary with | |
| > lavender. Keep the bottle shape, cream EMBER label, marble pedestal, camera | |
| > angle, background and lighting. | |
| For multiple references, refer explicitly to the first and second images. | |
| Reference preservation is semantic, not pixel-locked: small details, hand poses, | |
| clothing coverage and object placement can change. | |
| ## Native transparency | |
| Use an explicit RGBA instruction around the subject description: | |
| > This is an RGBA image with transparency. A charming hand-painted gouache sticker | |
| > of a small orange fox curled around a glowing blue book, round spectacles, | |
| > moss-green scarf, clean complete silhouette and generous empty margin. | |
| > The image has alpha channel and the background is transparent. | |
| Save as PNG. Check the alpha channel or composite over a checkerboard. The hidden | |
| RGB under transparent pixels can be colored; an RGB-only viewer is not an alpha | |
| test. The supplied example has alpha values spanning 0 through 255. | |
| ## Comparisons | |
| Keep the prompt, seed, dimensions, sampler, steps, backend and encoder mode fixed. | |
| The optional NVFP4 encoder patch changes conditioning arithmetic and may change | |
| the generated image. Compare stock and accelerated modes as distinct settings. | |
| The gallery contains the complete 12-prompt, two-seed comparison set. | |