A sample prompt of what you can find in this page
Prompt by ReneKlemenchuk

gradient orange and white tones prompts

very few results

8 months ago

Create a realistic and vibrant image of a young and cheerful model enjoying a natural sandwich, in a relaxed pose. She should appear full-length, full-body, with a satisfied expression, highlighting the details of the fresh sandwich (with ingredients such as green leaves and cheese). The background should be neutral (light tones or blurred) to highlight the model, with warm lighting and vibrant colors tending towards orange, creating a welcoming and appetizing atmosphere. The image should convey positive energy, photographic realism and richness of details, such as textures of clothing, hair and food. Hyper-realistic style, with details of natural lighting and soft shadows. Warm color palette, with emphasis on earthy tones and golden orange. Model looking at the camera. background white. x2d 100c, xcd 90mm f/2.5 lens, cinematic sepia color grading with golden hour warmth, dramatic black silhouette against burnt umber to honey amber gradient backdrop, avant-garde composition with tilted head pose, staring to camera, profound gaze, elongated body stance, flowing black turtleneck, professional main fresnel light at 60 degree angle with silk diffusion, rim light with cto gel at 75 degree angle, haze machine for ethereal atmosphere, feathered shadows, contrast curve manipulation, selective dodge and burn, grain texture overlay, color temperature adjustment at 5500k to 3200k gradient, ultra sharp details, raw format, inspired by paolo roversi lighting technique, hyper realistic, 16K, rich detail --ar 9:16 --quality 2 --style raw --personalize nq7rq2j --stylize 500 --v 6.1

8 months ago

Create a realistic and vibrant image of a young and cheerful model enjoying a natural sandwich, in a relaxed pose. She should appear full-length, full-body, with a satisfied expression, highlighting the details of the fresh sandwich. to highlight the model, with warm lighting and vibrant colors tending towards orange, creating a welcoming and appetizing atmosphere. The image should convey positive energy, photographic realism and richness of details, such as textures of clothing, hair and food. Hyper-realistic style, with details of natural lighting and soft shadows. Warm color palette, with emphasis on earthy tones and golden orange. Model looking at the camera. background white. x2d 100c, xcd 90mm f/2.5 lens, cinematic sepia color grading with golden hour warmth, dramatic black silhouette against burnt umber to honey amber gradient backdrop, avant-garde composition with tilted head pose, staring to camera, profound gaze, elongated body stance, flowing black turtleneck, professional main fresnel light at 60 degree angle with silk diffusion, rim light with cto gel at 75 degree angle, haze machine for ethereal atmosphere, feathered shadows, contrast curve manipulation, selective dodge and burn, grain texture overlay, color temperature adjustment at 5500k to 3200k gradient, ultra sharp details, raw format, inspired by paolo roversi lighting technique, hyper realistic, 16K, rich detail --ar 9:16 --quality 2 --style raw --personalize nq7rq2j --stylize 500 --v 6.1

1 month ago

Scientific infographic illustrating an AI-driven closed-loop framework for virtual molecular library construction, showing the adaptive cycle of “Representation – Generation – Prediction – Feedback”. Central theme: artificial intelligence empowering drug discovery and molecular design. The diagram is a circular workflow structure centered on the AI virtual molecular library system. Left module: Representation Learning, visualized with neural network icons, molecular graphs, protein structures, and amino acid sequence symbols, representing molecular and protein feature embeddings. Upper-right module: Molecular Generation, showing diffusion or VAE-like model generating diverse small molecules, arrows indicating exploration of chemical space, novelty, and synthesizability constraints. Lower-right module: Property Prediction, containing ADMET, activity, and selectivity metrics represented by radar charts or data panels, feeding results back to the representation module to close the loop. Bottom section: Evolution from virtual to drug-like molecular libraries, shown as a smooth gradient arrow with multi-objective optimization icons balancing drug-likeness and diversity. Right-side branch: Pretrained models for new target ligand design, divided into three submodules—small molecule pretraining, protein pretraining, and cross-modal pretraining (protein–ligand interaction)—depicting embedding fusion or contrastive learning in shared latent space. No human figures, only abstract scientific symbols and molecular visuals. Style: flat vector scientific infographic, modern and minimalistic, clear logical flow, smooth connections between modules. Color scheme: blue for AI and representation, orange-yellow for generation, green for prediction; background light gray or white. Typography: clean sans-serif labels, concise annotations. High resolution (≥600 dpi), suitable for journal publication, ultra-clear, balanced layout, professional academic tone.