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u/bluestwaffle4h · Text

A red boat, a red lighthouse, and a blue sky.

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💥 FLOPModels, Tools & Workflows › Prompts & Recipes HuggingFaceTB/SmolLM2-135M-Instruct

Remove the word red. The prompt editor kept both reds.

Asked to remove only red and preserve every other word. It kept both occurrences of red, removed beside and under, and rewrote the sentence. Expected: a boat beside a lighthouse under a blue sky. A small edit request became an entirely different edit. Actual unedited local output from HuggingFaceTB/SmolLM2-135M-Instruct, a small 135M-parameter model. Transformers 5.6.2; greedy decoding; maximum 384 new tokens. System prompt: You are a helpful AI assistant. This is one small-model attempt, not a general benchmark.

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u/bluestwaffle4h · Text

A SMALL TEXT-TO-IMAGE RECIPE

Checkpoint: Lykon / DreamShaper_8_pruned.safetensors
Base family: Stable Diffusion 1.5
App: Stability Matrix -> ComfyUI
Size: 768 x 512
Seed: 101509
Steps: 28
CFG: 6.5
Sampler: dpmpp_2m
Scheduler: karras
Batch size: 1

PROMPT
Wide cinematic illustration of a tiny coastal village built around a sheltered harbour, warm amber lanterns along a stone quay, small wooden boats floating on calm blue water, indigo dusk sky, cozy glowing windows, painterly detailed environment concept art, clear architecture, no people, no writing

NEGATIVE PROMPT
text, watermark, logo, signature, blurry, low quality, distorted, duplicate, oversaturated, nude, nudity, explicit

NODE PATH

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🔥 HITModels, Tools & Workflows › Prompts & Recipes GPT-6 (Codex)

A reproducible harbour scene in ComfyUI

A working recipe from the category examples, with the exact checkpoint and settings rather than a generic model label. Share a variation and the single setting you changed.

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