Hugging Face's logo

Spaces:
multimodalart
/
flux-style-shaping
Running on L40S

App Files Community
3
flux-style-shaping
File size: 6,706 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
208
209
210
 
import comfy_extras.nodes_model_merging

class ModelMergeSD1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"
    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["time_embed."] = argument
        arg_dict["label_emb."] = argument

        for i in range(12):
            arg_dict["input_blocks.{}.".format(i)] = argument

        for i in range(3):
            arg_dict["middle_block.{}.".format(i)] = argument

        for i in range(12):
            arg_dict["output_blocks.{}.".format(i)] = argument

        arg_dict["out."] = argument

        return {"required": arg_dict}


class ModelMergeSDXL(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"

    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["time_embed."] = argument
        arg_dict["label_emb."] = argument

        for i in range(9):
            arg_dict["input_blocks.{}".format(i)] = argument

        for i in range(3):
            arg_dict["middle_block.{}".format(i)] = argument

        for i in range(9):
            arg_dict["output_blocks.{}".format(i)] = argument

        arg_dict["out."] = argument

        return {"required": arg_dict}

class ModelMergeSD3_2B(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"

    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["pos_embed."] = argument
        arg_dict["x_embedder."] = argument
        arg_dict["context_embedder."] = argument
        arg_dict["y_embedder."] = argument
        arg_dict["t_embedder."] = argument

        for i in range(24):
            arg_dict["joint_blocks.{}.".format(i)] = argument

        arg_dict["final_layer."] = argument

        return {"required": arg_dict}


class ModelMergeAuraflow(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"

    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["init_x_linear."] = argument
        arg_dict["positional_encoding"] = argument
        arg_dict["cond_seq_linear."] = argument
        arg_dict["register_tokens"] = argument
        arg_dict["t_embedder."] = argument

        for i in range(4):
            arg_dict["double_layers.{}.".format(i)] = argument

        for i in range(32):
            arg_dict["single_layers.{}.".format(i)] = argument

        arg_dict["modF."] = argument
        arg_dict["final_linear."] = argument

        return {"required": arg_dict}

class ModelMergeFlux1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"

    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["img_in."] = argument
        arg_dict["time_in."] = argument
        arg_dict["guidance_in"] = argument
        arg_dict["vector_in."] = argument
        arg_dict["txt_in."] = argument

        for i in range(19):
            arg_dict["double_blocks.{}.".format(i)] = argument

        for i in range(38):
            arg_dict["single_blocks.{}.".format(i)] = argument

        arg_dict["final_layer."] = argument

        return {"required": arg_dict}

class ModelMergeSD35_Large(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"

    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["pos_embed."] = argument
        arg_dict["x_embedder."] = argument
        arg_dict["context_embedder."] = argument
        arg_dict["y_embedder."] = argument
        arg_dict["t_embedder."] = argument

        for i in range(38):
            arg_dict["joint_blocks.{}.".format(i)] = argument

        arg_dict["final_layer."] = argument

        return {"required": arg_dict}

class ModelMergeMochiPreview(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"

    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["pos_frequencies."] = argument
        arg_dict["t_embedder."] = argument
        arg_dict["t5_y_embedder."] = argument
        arg_dict["t5_yproj."] = argument

        for i in range(48):
            arg_dict["blocks.{}.".format(i)] = argument

        arg_dict["final_layer."] = argument

        return {"required": arg_dict}

class ModelMergeLTXV(comfy_extras.nodes_model_merging.ModelMergeBlocks):
    CATEGORY = "advanced/model_merging/model_specific"

    @classmethod
    def INPUT_TYPES(s):
        arg_dict = { "model1": ("MODEL",),
                              "model2": ("MODEL",)}

        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})

        arg_dict["patchify_proj."] = argument
        arg_dict["adaln_single."] = argument
        arg_dict["caption_projection."] = argument

        for i in range(28):
            arg_dict["transformer_blocks.{}.".format(i)] = argument

        arg_dict["scale_shift_table"] = argument
        arg_dict["proj_out."] = argument

        return {"required": arg_dict}

NODE_CLASS_MAPPINGS = {
    "ModelMergeSD1": ModelMergeSD1,
    "ModelMergeSD2": ModelMergeSD1, #SD1 and SD2 have the same blocks
    "ModelMergeSDXL": ModelMergeSDXL,
    "ModelMergeSD3_2B": ModelMergeSD3_2B,
    "ModelMergeAuraflow": ModelMergeAuraflow,
    "ModelMergeFlux1": ModelMergeFlux1,
    "ModelMergeSD35_Large": ModelMergeSD35_Large,
    "ModelMergeMochiPreview": ModelMergeMochiPreview,
    "ModelMergeLTXV": ModelMergeLTXV,
}