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Character Generation Master 角色生成大師【艾鍗學院】
- 1. Character Generation Master Leader:Mei Member: Emily, Steven, Zero
- 2. Agenda ❖ The CoreGoal ❖ Motivation ❖ Architecture Diagram ❖ Implementation ❖ Technique ❖ Prompt ❖ Parameters ❖ Model Evaluation ❖ Story Generation
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- 4. ❖ 獨特性 ❖ 前瞻性 ❖興趣 ❖ 過往經驗 Motivation
- 5. CTkinter Image Story Text Prompt Architecture Diagram StableDiffusion Text Prompt Gemini
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- 8. Image Story Text Prompt Technique Stable Diffusion TextPrompt Gemini 1 2
- 9. Image Story Text Prompt Technique Stable Diffusion TextPrompt Gemini 1 2
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- 26. Technique Noise Predictor U-Net Noisy Image PredictNoise Denoise
- 27. Technique Noise Predictor U-Net Noisy ImagePredict Noise Denoise
- 28. Technique Noise Predictor U-Net New NoisyImage Denoise
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- 34. Technique 512 x 512x 3 = 786432 Pixel Space
- 35. Technique 512 x 512x 3 = 786432 Pixel Space
- 36. Technique 512 x 512x 3 = 786432 Latent Diffusion Model Latent Space 768 VAE Decoder VAE & Latent Space
- 37. Technique VAE Decoder Latent Space VAE &Latent Space
- 38. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
- 39. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
- 40. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
- 41. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
- 42. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
- 43. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
- 44. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
- 45. Technique Encoder Decode Latent Space VAEVAE Pixel Space VAE & Latent Space
- 46. Technique Encoder Decode Latent Space VAEVAE Pixel Space Pixel Space VAE & Latent Space
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- 49. Prompt The Art ofPrompts
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- 51. Prompt "black dog”, “cuteboy”, “park”, “In the park, a cute boy played fetch with a black dog, laughter echoing as they chased each other under the sun.”
- 52. Prompt ● Positive Prompt ●Negative Prompt ● Positive Prompt ○ Anything you want to appear in the generated image ● Negative Prompt
- 53. Prompt ❏ female ❏ adventurer ❏ponytail Positive Prompt Positive Prompt
- 54. Prompt ❏ female ❏ adventurer ❏ponytail Positive Prompt ❏ masterpiece ❏ best quality ❏ highly detailed ❏ absurdres Positive Prompt
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- 56. Prompt ❏ male ❏ adventurer ❏layered_haircut Positive Prompt Positive Prompt
- 57. Prompt Positive Prompt ❏ masterpiece ❏ bestquality ❏ highly detailed ❏ absurdres ❏ male ❏ adventurer ❏ layered_haircut Positive Prompt
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- 59. Prompt ● Positive Prompt ○Anything you want to appear in the generated image ● Negative Prompt ● Positive Prompt ○ Anything you want to appear in the generated image ● Negative Prompt ○ Anything you don't want to appear on the generated image
- 60. Negative Prompt ❏ male, ❏deep blue hair, ❏ …..., ❏ blablablabla ......, Prompt Positive Prompt
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- 62. Negative Prompt ❏ male, ❏deep blue hair, ❏ …..., ❏ blablablabla ......, Prompt Positive Prompt
- 63. Negative Prompt Prompt ❏ badanatomy ❏ malformed hands Negative Prompt
- 64. Prompt ❏ bad anatomy ❏malformed hands ❏ extra fingers Negative Prompt Negative Prompt
- 65. ❏ male, ❏ blue_hair, ❏…..., ❏ blablablabla ......, Prompt Positive Prompt Prompt Weighting
- 66. ❏ male, ❏ red_hair, ❏…..., ❏ blablablabla ......, Prompt Positive Prompt Prompt Weighting
- 67. ❏ male, ❏ red_hairand blue_hair, ❏ …..., ❏ blablablabla ......, Prompt Positive Prompt Prompt Weighting
- 68. ❏ male, ❏ (red_hair)1.05and blue_hair, ❏ …..., ❏ blablablabla ......, Prompt Positive Prompt Prompt Weighting
- 69. ❏ male, ❏ (red_hair)1.1and blue_hair, ❏ …..., ❏ blablablabla ......, Prompt Positive Prompt Prompt Weighting
- 70. Prompt 並非所有 Stable DiffusionModel 都是使用同一種語 法 Prompt Syntax
- 71. Parameters Eta NoiseSeed Delta
- 72. Denoise Process Noisy Image Control Parameters EtaNoise Seed Delta
- 73. Parameters ● Timesteps 50 ●CFG Scale 7.5 Default
- 74. Parameters ● Timesteps 50 ●CFG Scale 7.5 Default Timesteps
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- 76. Parameters Timesteps Positive Prompt ❏ male ❏adventurer ❏ layered_haircut
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- 78. Parameters Timesteps 10 1112 13 14
- 79. Parameters Timesteps 15 1617 18 19
- 80. Parameters Timesteps 20 2122 23 24
- 81. Parameters Timesteps 25 2627 28 29
- 82. Parameters Timesteps 30 3132 33 34
- 83. Parameters ● Timesteps 50 ●CFG Scale 7.5 Default CFG Scale
- 84. Parameters Positive Prompt ❏ concept art ❏upper body ❏ solo CFG Scale ❏ male ❏ adventurer ❏ layered_haircut
- 85. Parameters CFG Scale 1.01.5 2.0 2.5 3.0
- 86. Parameters CFG Scale 3.54.0 4.5 5.0 5.5
- 87. 不同 Model 的測試與結果評 估 ●Clip Score ● Inception Score Model Evaluation
- 88. ( 參考來源： AnEfficient Cross-Modal Privacy-Preserving Image–Text Retrieval Scheme) Model Evaluation CLIP Score 是一種評估圖像和文本之間相似度的指標 CLIP Score
- 89. Model Evaluation 衡量生成圖像的清晰度和多樣性 Inception Score是一種評估生成模型生成圖像質量的指標 Inception Score
- 90. Model Evaluation ● ClipScore 設定 10 組不同 prompt ，分別對八組模型出圖，進行 Clip Score 值計算 ● Inception Score 設定 136 組不同 prompt( 由 Gemini 產出 ) ，分別對八組模 型出圖，進行 Inception Score 值計算 評估方式
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- 95. Model Evaluation 1. ClipScore 相近，可能在相似的數據集上訓練 2. Inception Score ，基本表現都不錯 評估結論
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- 97. Story Generation 使用gemini-1.5-flash API Ask ：根據 UI 選擇的項目，加上隨機善惡陣營，組成提問句，例 如： " 請寫一個故事人物的說明，名字請依照描述隨機給予，並用繁體中 文顯示，以下是人物的相關設定 : female, middle-age, angel, grey hair, Neutral Good"
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