|
| 1 | +# --- |
| 2 | +# jupyter: |
| 3 | +# jupytext: |
| 4 | +# text_representation: |
| 5 | +# extension: .py |
| 6 | +# format_name: percent |
| 7 | +# format_version: '1.3' |
| 8 | +# jupytext_version: 1.16.7 |
| 9 | +# kernelspec: |
| 10 | +# display_name: Python 3 (ipykernel) |
| 11 | +# language: python |
| 12 | +# name: python3 |
| 13 | +# --- |
| 14 | + |
| 15 | +# %% [markdown] |
| 16 | +# # Prompt-to-Prompt の実装 |
| 17 | + |
| 18 | +# %% [markdown] |
| 19 | +# [](https://colab.research.google.com/github/py-img-gen/python-image-generation/blob/main/notebooks/5-3-1_prompt-to-prompt.ipynb) |
| 20 | + |
| 21 | +# %% [markdown] |
| 22 | +# 参考: https://github.com/huggingface/diffusers/tree/main/examples/community#prompt2prompt-pipeline |
| 23 | + |
| 24 | +# %% [markdown] |
| 25 | +# ## 準備 |
| 26 | + |
| 27 | +# %% |
| 28 | +# !pip install -qq py-img-gen |
| 29 | + |
| 30 | +# %% |
| 31 | +import warnings |
| 32 | + |
| 33 | +import torch |
| 34 | + |
| 35 | +device = torch.device( |
| 36 | + "cuda" if torch.cuda.is_available() else "cpu" |
| 37 | +) |
| 38 | +dtype = torch.float16 |
| 39 | +variant = "fp16" |
| 40 | +seed = 0 |
| 41 | + |
| 42 | +warnings.simplefilter("ignore", FutureWarning) |
| 43 | + |
| 44 | +# %% |
| 45 | +from diffusers import DiffusionPipeline |
| 46 | + |
| 47 | +model_id = "stable-diffusion-v1-5/stable-diffusion-v1-5" |
| 48 | + |
| 49 | +prompt2prompt = DiffusionPipeline.from_pretrained( |
| 50 | + model_id, |
| 51 | + custom_pipeline="pipeline_prompt2prompt", |
| 52 | +) |
| 53 | + |
| 54 | + |
| 55 | +# %% |
| 56 | +from diffusers_modules.git.pipeline_prompt2prompt import ( |
| 57 | + Prompt2PromptPipeline, |
| 58 | +) |
| 59 | + |
| 60 | +assert isinstance(prompt2prompt, Prompt2PromptPipeline) |
| 61 | +prompt2prompt = prompt2prompt.to(device=device) |
| 62 | + |
| 63 | +# %% [markdown] |
| 64 | +# ## 簡易パイプライン実行関数の定義 |
| 65 | + |
| 66 | +# %% |
| 67 | +from typing import Any, Dict, List |
| 68 | + |
| 69 | +from diffusers.utils import make_image_grid |
| 70 | +from PIL.Image import Image as PilImage |
| 71 | + |
| 72 | + |
| 73 | +def prompt_to_prompt( |
| 74 | + prompt_before: str, |
| 75 | + prompt_after: str, |
| 76 | + cross_attention_kwargs: Dict[str, Any], |
| 77 | + width: int = 512, |
| 78 | + height: int = 512, |
| 79 | + num_inference_steps: int = 50, |
| 80 | +) -> List[PilImage]: |
| 81 | + outputs = prompt2prompt( |
| 82 | + prompt=[prompt_before, prompt_after], |
| 83 | + width=width, |
| 84 | + height=height, |
| 85 | + num_inference_steps=num_inference_steps, |
| 86 | + cross_attention_kwargs=cross_attention_kwargs, |
| 87 | + generator=torch.manual_seed(seed), |
| 88 | + ) |
| 89 | + return outputs.images |
| 90 | + |
| 91 | + |
| 92 | +# %% [markdown] |
| 93 | +# ## Relace Edit |
| 94 | + |
| 95 | +# %% |
| 96 | +prompt_before = "A painting of a squirrel eating a burger" |
| 97 | +prompt_after = "A painting of a cat eating a burger" |
| 98 | + |
| 99 | +images = prompt_to_prompt( |
| 100 | + prompt_before=prompt_before, |
| 101 | + prompt_after=prompt_after, |
| 102 | + cross_attention_kwargs={ |
| 103 | + "edit_type": "replace", |
| 104 | + "cross_replace_steps": 0.4, |
| 105 | + "self_replace_steps": 0.4, |
| 106 | + }, |
| 107 | +) |
| 108 | +make_image_grid(images, rows=1, cols=len(images)) |
| 109 | + |
| 110 | + |
| 111 | +# %% [markdown] |
| 112 | +# ## Replace Edit with Loacl Blend |
| 113 | + |
| 114 | +# %% |
| 115 | +prompt_before = "A painting of a squirrel eating a burger" |
| 116 | +prompt_after = "A painting of a cat eating a burger" |
| 117 | + |
| 118 | +images = prompt_to_prompt( |
| 119 | + prompt_before=prompt_before, |
| 120 | + prompt_after=prompt_after, |
| 121 | + cross_attention_kwargs={ |
| 122 | + "edit_type": "replace", |
| 123 | + "cross_replace_steps": 0.4, |
| 124 | + "self_replace_steps": 0.4, |
| 125 | + "local_blend_words": ["squirrel", "cat"], |
| 126 | + }, |
| 127 | +) |
| 128 | +make_image_grid(images, rows=1, cols=len(images)) |
| 129 | + |
| 130 | +# %% [markdown] |
| 131 | +# ## Refine Edit |
| 132 | + |
| 133 | +# %% |
| 134 | +prompt_before = "A painting of a squirrel eating a burger" |
| 135 | +prompt_after = "A real photo of a cat eating a burger" |
| 136 | + |
| 137 | +images = prompt_to_prompt( |
| 138 | + prompt_before=prompt_before, |
| 139 | + prompt_after=prompt_after, |
| 140 | + cross_attention_kwargs={ |
| 141 | + "edit_type": "refine", |
| 142 | + "cross_replace_steps": 0.9, |
| 143 | + "self_replace_steps": 0.2, |
| 144 | + }, |
| 145 | +) |
| 146 | +make_image_grid(images, rows=1, cols=len(images)) |
| 147 | + |
| 148 | +# %% [markdown] |
| 149 | +# ## Refine Edit with Local Blend |
| 150 | + |
| 151 | +# %% |
| 152 | +prompt_before = "A painting of a squirrel eating a burger" |
| 153 | +prompt_after = "A real photo of a cat eating a burger" |
| 154 | + |
| 155 | +images = prompt_to_prompt( |
| 156 | + prompt_before=prompt_before, |
| 157 | + prompt_after=prompt_after, |
| 158 | + cross_attention_kwargs={ |
| 159 | + "edit_type": "refine", |
| 160 | + "cross_replace_steps": 0.9, |
| 161 | + "self_replace_steps": 0.2, |
| 162 | + "local_blend_words": ["squirrel", "cat"], |
| 163 | + }, |
| 164 | +) |
| 165 | +make_image_grid(images, rows=1, cols=len(images)) |
| 166 | + |
| 167 | +# %% [markdown] |
| 168 | +# ## Rewiehgt Edit |
| 169 | + |
| 170 | +# %% |
| 171 | +prompt = "a photo of smiling pink bunny doll" |
| 172 | + |
| 173 | +images = prompt_to_prompt( |
| 174 | + prompt_before=prompt, |
| 175 | + prompt_after=prompt, |
| 176 | + cross_attention_kwargs={ |
| 177 | + "edit_type": "reweight", |
| 178 | + "cross_replace_steps": 0.8, |
| 179 | + "self_replace_steps": 0.8, |
| 180 | + "equalizer_words": ["smiling"], |
| 181 | + "equalizer_strengths": [20], |
| 182 | + }, |
| 183 | +) |
| 184 | +make_image_grid(images, rows=1, cols=len(images)) |
0 commit comments