Hugging Face's logo

Spaces:
Ashoka74
/
RefurnishAI
Running on Zero

App Files Community
RefurnishAI
File size: 10,082 Bytes 
4450790
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
 
#---------------------------------------------------------------------------------------------------------------------#
# Comfyroll Studio custom nodes by RockOfFire and Akatsuzi    https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes                             
# for ComfyUI                                                 https://github.com/comfyanonymous/ComfyUI                                               
#---------------------------------------------------------------------------------------------------------------------#

import torch
import numpy as np
from PIL import Image, ImageEnhance
import os
import sys
import folder_paths
from nodes import MAX_RESOLUTION, ControlNetApply
from ..categories import icons

sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))

#---------------------------------------------------------------------------------------------------------------------#
# SDXL Nodes
#---------------------------------------------------------------------------------------------------------------------#
class CR_PromptMixPresets:
    def __init__(self):
        pass

    @classmethod        
    def INPUT_TYPES(s):
        return {
            "required":{
            },
            "optional":{
                "prompt_positive": ("STRING", {"multiline": True, "default": "prompt_pos"}),
                "prompt_negative": ("STRING", {"multiline": True, "default": "prompt_neg"}),
                "style_positive": ("STRING", {"multiline": True, "default": "style_pos"}),
                "style_negative": ("STRING", {"multiline": True, "default": "style_neg"}),
                "preset": (["default with no style text", "default with style text",
                            "style boost 1", "style boost 2", "style text to refiner"],),
            },
        }

    RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING", "STRING", )
    RETURN_NAMES = ("pos_g", "pos_l", "pos_r", "neg_g", "neg_l", "neg_r", "show_help", )
    FUNCTION = "mixer"
    CATEGORY = icons.get("Comfyroll/SDXL")

    def mixer(self, prompt_positive, prompt_negative, style_positive, style_negative, preset):
        if preset == "default with no style text":
            pos_g = prompt_positive
            pos_l = prompt_positive
            pos_r = prompt_positive
            neg_g = prompt_negative
            neg_l = prompt_negative
            neg_r = prompt_negative
        elif preset == "default with style text":
            pos_g = prompt_positive + style_positive
            pos_l = prompt_positive + style_positive
            pos_r = prompt_positive + style_positive
            neg_g = prompt_negative + style_negative
            neg_l = prompt_negative + style_negative
            neg_r = prompt_negative + style_negative
        elif preset == "style boost 1":
            pos_g = prompt_positive
            pos_l = style_positive
            pos_r = prompt_positive
            neg_g = prompt_negative
            neg_l = style_negative
            neg_r = prompt_negative
        elif preset == "style boost 2":
            pos_g = style_positive
            pos_l = prompt_positive
            pos_r = style_positive
            neg_g = style_negative
            neg_l = prompt_negative
            neg_r = style_negative
        elif preset == "style text to refiner":
            pos_g = prompt_positive
            pos_l = prompt_positive
            pos_r = style_positive
            neg_g = prompt_negative
            neg_l = prompt_negative
            neg_r = style_negative
        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/SDXL-Nodes#cr-sdxl-prompt-mix-presets"            
        return (pos_g, pos_l, pos_r, neg_g, neg_l, neg_r, show_help, )

#---------------------------------------------------------------------------------------------------------------------#
class CR_SDXLStyleText:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
                    "positive_style": ("STRING", {"default": "POS_STYLE", "multiline": True}),
                    "negative_style": ("STRING", {"default": "NEG_STYLE", "multiline": True}),
                    },
                }

    RETURN_TYPES = ("STRING", "STRING", "STRING", )
    RETURN_NAMES = ("positive_prompt_text_l", "negative_prompt_text_l" , "show_help", )
    FUNCTION = "get_value"
    CATEGORY = icons.get("Comfyroll/SDXL")

    def get_value(self, positive_style, negative_style):
        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/SDXL-Nodes#cr-sdxl-style-text"
        return (positive_style, negative_style, show_help, )

#---------------------------------------------------------------------------------------------------------------------#
class CR_SDXLBasePromptEncoder:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
                    "base_clip": ("CLIP", ),
                    "pos_g": ("STRING", {"multiline": True, "default": "POS_G"}),
                    "pos_l": ("STRING", {"multiline": True, "default": "POS_L"}),
                    "neg_g": ("STRING", {"multiline": True, "default": "NEG_G"}),
                    "neg_l": ("STRING", {"multiline": True, "default": "NEG_L"}),
                    "preset": (["preset A", "preset B", "preset C"],), 
                    "base_width": ("INT", {"default": 4096.0, "min": 0, "max": MAX_RESOLUTION, "step": 64}),
                    "base_height": ("INT", {"default": 4096.0, "min": 0, "max": MAX_RESOLUTION, "step": 64}),
                    "crop_w": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 64}),
                    "crop_h": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 64}),
                    "target_width": ("INT", {"default": 4096.0, "min": 0, "max": MAX_RESOLUTION, "step": 64}),
                    "target_height": ("INT", {"default": 4096.0, "min": 0, "max": MAX_RESOLUTION, "step": 64}),
                    },
                }

    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "STRING", )
    RETURN_NAMES = ("base_positive", "base_negative", "show_help", )
    FUNCTION = "encode"
    CATEGORY = icons.get("Comfyroll/SDXL")

    def encode(self, base_clip, pos_g, pos_l, neg_g, neg_l, base_width, base_height, crop_w, crop_h, target_width, target_height, preset,):
        empty = base_clip.tokenize("")

        # positive prompt
        tokens1 = base_clip.tokenize(pos_g)
        tokens1["l"] = base_clip.tokenize(pos_l)["l"]

        if len(tokens1["l"]) != len(tokens1["g"]):
            while len(tokens1["l"]) < len(tokens1["g"]):
                tokens1["l"] += empty["l"]
            while len(tokens1["l"]) > len(tokens1["g"]):
                tokens1["g"] += empty["g"]

        cond1, pooled1 = base_clip.encode_from_tokens(tokens1, return_pooled=True)
        res1 = [[cond1, {"pooled_output": pooled1, "width": base_width, "height": base_height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}]]

        # negative prompt
        tokens2 = base_clip.tokenize(neg_g)
        tokens2["l"] = base_clip.tokenize(neg_l)["l"]

        if len(tokens2["l"]) != len(tokens2["g"]):
            while len(tokens2["l"]) < len(tokens2["g"]):
                tokens2["l"] += empty["l"]
            while len(tokens2["l"]) > len(tokens2["g"]):
                tokens2["g"] += empty["g"]

        cond2, pooled2 = base_clip.encode_from_tokens(tokens2, return_pooled=True)
        res2 = [[cond2, {"pooled_output": pooled2, "width": base_width, "height": base_height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}]]

        # positive style
        tokens2 = base_clip.tokenize(pos_l)
        tokens2["l"] = base_clip.tokenize(neg_l)["l"]

        if len(tokens2["l"]) != len(tokens2["g"]):
            while len(tokens2["l"]) < len(tokens2["g"]):
                tokens2["l"] += empty["l"]
            while len(tokens2["l"]) > len(tokens2["g"]):
                tokens2["g"] += empty["g"]

        cond2, pooled2 = base_clip.encode_from_tokens(tokens2, return_pooled=True)
        res3 = [[cond2, {"pooled_output": pooled2, "width": base_width, "height": base_height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}]]

        # negative style
        tokens2 = base_clip.tokenize(neg_l)
        tokens2["l"] = base_clip.tokenize(neg_l)["l"]

        if len(tokens2["l"]) != len(tokens2["g"]):
            while len(tokens2["l"]) < len(tokens2["g"]):
                tokens2["l"] += empty["l"]
            while len(tokens2["l"]) > len(tokens2["g"]):
                tokens2["g"] += empty["g"]

        cond2, pooled2 = base_clip.encode_from_tokens(tokens2, return_pooled=True)
        res4 = [[cond2, {"pooled_output": pooled2, "width": base_width, "height": base_height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}]]

        if preset == "preset A":
            base_positive = res1
            base_negative = res2
        elif preset == "preset B":
            base_positive = res3
            base_negative = res4
        elif preset == "preset C":
            base_positive = res1 + res3
            base_negative = res2 + res4
            
        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/SDXL-Nodes#cr-sdxl-base-prompt-encoder"
        return (base_positive, base_negative, show_help, )
               
#---------------------------------------------------------------------------------------------------------------------#
# MAPPINGS
#---------------------------------------------------------------------------------------------------------------------#
# For reference only, actual mappings are in __init__.py            
'''
NODE_CLASS_MAPPINGS = {
    "CR SDXL Style Text":CR_SDXLStyleText,
    "CR SDXL Base Prompt Encoder":CR_SDXLBasePromptEncoder, 
    "CR SDXL Prompt Mix Presets":CR_PromptMixPresets,
}
'''