想在本地用中階顯卡完成「同一角色、不同姿勢與場景」的動漫插畫？這篇帶你用 Flux.1 Kontext Dev 的 GGUF 量化版，在 ComfyUI 透過「參考圖 → 以圖生圖 → 穩定角色特徵」的方式，快速生成 1024×768 成品。核心是 Kontext 的情境式生成能力：把角色立繪餵給模型，抽取髮色、臉型、配件等視覺語彙，再依提示詞換動作、表情與場景，同時維持角色一致性。

本文提供可直接匯入的 ComfyUI 工作流思路與參數建議；全流程只靠主模型 + 文字編碼 + VAE，不需 LoRA；在約 12GB VRAM 的環境即可順跑。提醒：Kontext-dev 為非商業授權，下載與使用前請先確認授權條款；內容安全過濾需自行把關。

環境配置與模型放置

請先完成 ComfyUI 的基本安裝並能順利開啟軟體介面（教學點我）。接著需要額外安裝幾個自訂節點，分別是：

ComfyUI-GGUF：支援 UnetLoaderGGUF、CLIPLoaderGGUF 等節點，讓 ComfyUI 能夠直接讀取 .gguf 模型檔。
ComfyUI-Flux：提供 FluxGuidance、FluxKontextImageScale、ModelSamplingFlux 等專屬節點，是 Kontext 工作流的核心。
ComfyUI-Detail-Daemon：附加 DetailDaemonSamplerNode，可強化影像細節、減少夜景或暗部場景常見的塗抹與雜點。

匯入工作流後會提示遺失的節點，建議可使用 ComfyUI-Manager 進行安裝，安裝完成後務必重啟 ComfyUI，節點才會出現在清單中。完成這些步驟後，即可使用 UnetLoaderGGUF 與 FluxGuidance 等專屬節點，順利載入 GGUF 權重並執行 Flux.1 Kontext Dev 的工作流。

模型與路徑

Diffusion（GGUF）：flux1-kontext-dev-Q5_K_M.gguf［🔗 下載點］
📁 放置 → ComfyUI/models/diffusion_models/
Text Encoders：t5xxl_fp8_e4m3fn.safetensors、clip_l.safetensors［🔗 下載點］
📁 放置 → ComfyUI/models/clip/
VAE：ae.safetensors［🔗 下載點］
📁 放置 → ComfyUI/models/vae/

工作流重點與參數建議

角色一致性的核心在於讓模型同時接收「參考圖」與「文字提示」：① 透過 Load Image → FluxKontextImageScale → VAE Encode → ReferenceLatent，把原始角色立繪送入潛空間作為參考；② 使用 FluxGuidance 配合正向提示詞，描述角色的動作、姿勢、表情與場景背景；③ 在取樣過程中保持穩定性，由 Detail Daemon 幫助增添細節與控制雜訊，確保生成影像乾淨穩定。

解析度：1024×768（單張批量）
取樣器：res_multistep（搭配 Detail Daemon 使用），建議步數 20 起
排程：sgm_uniform
ModelSamplingFlux：max_shift=1.15、base_shift=0.5
正向提示：主要以「角色要做的動作、姿勢、表情、場景描述」為主，例如坐姿、笑容、背景光影等。

這種設計省略了角色細節的文字綁定，讓參考圖成為維持一致性的主要依據，確保生成的角色在不同動作與場景下仍保持相同的外觀特徵。

📝 工作流（FluxKontextGGUF.json）

將下列內容複製到文字編輯器，儲存為 FluxKontextGGUF.json 後即可在 ComfyUI 匯入。

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▲ ComfyUI 的工作流截圖：以 ReferenceLatent 導入角色潛空間，中段透過 FluxGuidance 與 Detail Daemon 提升穩定度，最後再解碼輸出。整體流程乾淨直覺，方便替換提示詞並維持角色一致性。

提示詞示範與生成成果（以圖生圖）

以下展示的是角色「萌芽娘」在不同服裝與場景下的生成成果，全部皆以同一張立繪作為參考圖，並透過文字提示控制角色的動作、表情與場景氛圍。這九張作品均為一次直出、未經後製修圖，能清楚看出 Flux.1 Kontext Dev 在維持角色一致性的同時，仍能靈活切換不同情境與風格。每張圖約生成 3 分鐘，還可以接受。本次使用的提示詞如下：

1. Wearing a frilly maid outfit, kneeling gracefully on the floor while holding a silver tray with tea. She has a shy yet charming smile, surrounded by soft candlelight in a cozy room. Anime style, highly detailed, vibrant colors.
2. Wearing a soft oversized sweater, lying on a bed with her chin resting on her hands. Her playful eyes and gentle smile create a warm, intimate mood in a softly lit bedroom. Anime style, highly detailed, vibrant colors.
3. In a magical girl costume, standing confidently with one hand on her hip and the other pointing a glowing wand toward the sky. The night is filled with sparkling stars and glowing magic effects. Anime style, highly detailed, vibrant colors.
4. Wearing a bikini and sheer sarong, lounging on a beach chair with sunglasses in hand. She stretches lazily, with waves and palm trees in the background under golden sunlight. Anime style, highly detailed, vibrant colors.
5. Dressed in a school uniform with a short pleated skirt, sitting on a swing with legs slightly crossed. She smiles softly as cherry blossom petals fall around her in the spring breeze. Anime style, highly detailed, vibrant colors.
6. In a stylish yukata, sitting on wooden steps by a festival stall, holding cotton candy with both hands. Fireworks glow in the night sky, reflecting in her joyful eyes. Anime style, highly detailed, vibrant colors.
7. Wearing a sexy bunny suit with fishnet stockings, sitting cross-legged on a barstool. She leans forward with a playful wink, neon lights glowing behind her. Anime style, highly detailed, vibrant colors.
8. In a flowing white sundress, running barefoot across a meadow. She holds her hat with one hand while laughing freely, surrounded by butterflies in warm sunlight. Anime style, highly detailed, vibrant colors.
9. Wearing elegant lingerie, lying on a velvet sofa with one leg slightly raised. She gazes with a sultry expression under the glow of a dim chandelier, creating a seductive yet refined mood. Anime style, highly detailed, vibrant colors.

▲ 女僕服端盤跪坐（燭光室內）。角色臉型與髮飾特徵清晰一致，氛圍溫暖柔和，細節表現穩定。

▲ 寬鬆毛衣趴床。角色五官比例與表情保持連貫，場景氛圍呈現輕鬆舒適的居家感，可惜服裝沒有替換。

▲ 魔法少女夜空指星。服裝與特效元素完整呈現，角色神情自信，與前面作品仍保持同一角色的特徵。服裝沒有更換到，也許要再調整提示詞。

▲ 沙灘日落與躺椅。服裝有更換，畫面展現悠閒氛圍，角色外觀穩定，依舊能清楚辨識為同一角色。

▲ 校服坐鞦韆。原本的服裝就類似校服，因此沒更換。櫻花與春風吹拂的場景氛圍自然，角色表情柔和，臉型與特徵維持一致。

▲ 浴衣祭典與煙火。這張服裝也沒更換到。夜晚場景光影鮮明，角色神情充滿喜悅，與其他畫面中的角色保持同樣的面貌。

▲ 兔女郎吧檯。目前看來用「Wearing」換裝成功率較高。角色在霓虹燈背景下展現俏皮表情，特徵與細節穩定，角色辨識度高。

▲ 白色洋裝奔跑草地。這次全身都有替換到服裝啦！畫面充滿動態與自由感，角色臉部與髮飾保持穩定。手指有些細節上的不完美。

▲ 絲緞沙發與吊燈。場景氛圍高雅，角色表情帶有成熟氣質，與其他生成圖保持一致的角色形象。太性感的服裝就出不來了。

結語

Flux.1 Kontext Dev 讓「以圖生圖＋角色一致」的流程變得前所未有的簡單且可控。只要先透過參考圖抽取角色特徵，再搭配提示詞去描述表情、姿勢與場景，就能在不同的情境下維持同一角色的外觀與辨識度。加上取樣器與 Detail Daemon 的輔助，畫面細節能夠保持乾淨穩定，不容易出現常見的塗抹或崩壞問題，對於想要建立完整角色視覺資料庫的創作者而言，這是一條非常高效的工作流。

更重要的是，這樣的設計大幅降低了學習門檻。你不需要額外訓練 LoRA 或管理複雜的多模型切換，只要在 ComfyUI 安裝必要的節點，按照本文的模型放置路徑與工作流配置，就能直接開始生成。即使是家用等級的顯卡，在約 12GB VRAM 的條件下，也能順暢地輸出 1024×768 的插畫成果，兼顧速度與品質。這讓 Flux.1 Kontext Dev 成為許多插畫師、同人創作者、以及想要快速做專案視覺草圖的最佳工具之一。

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