-
Notifications
You must be signed in to change notification settings - Fork 272
Expand file tree
/
Copy pathnodes.py
More file actions
329 lines (285 loc) · 13.3 KB
/
nodes.py
File metadata and controls
329 lines (285 loc) · 13.3 KB
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
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
# (c) City96 || Apache-2.0 (apache.org/licenses/LICENSE-2.0)
import torch
import logging
import inspect
import collections
import nodes
import comfy.sd
import comfy.lora
import comfy.float
import comfy.utils
import comfy.model_patcher
import comfy.model_management
import folder_paths
from .ops import GGMLOps, move_patch_to_device
from .loader import gguf_sd_loader, gguf_clip_loader
from .dequant import is_quantized, is_torch_compatible
def update_folder_names_and_paths(key, targets=[]):
# check for existing key
base = folder_paths.folder_names_and_paths.get(key, ([], {}))
base = base[0] if isinstance(base[0], (list, set, tuple)) else []
# find base key & add w/ fallback, sanity check + warning
target = next((x for x in targets if x in folder_paths.folder_names_and_paths), targets[0])
orig, _ = folder_paths.folder_names_and_paths.get(target, ([], {}))
folder_paths.folder_names_and_paths[key] = (orig or base, {".gguf"})
if base and base != orig:
logging.warning(f"Unknown file list already present on key {key}: {base}")
# Add a custom keys for files ending in .gguf
update_folder_names_and_paths("unet_gguf", ["diffusion_models", "unet"])
update_folder_names_and_paths("clip_gguf", ["text_encoders", "clip"])
class GGUFModelPatcher(comfy.model_patcher.ModelPatcher):
patch_on_device = False
def patch_weight_to_device(self, key, device_to=None, inplace_update=False):
if key not in self.patches:
return
weight = comfy.utils.get_attr(self.model, key)
patches = self.patches[key]
if is_quantized(weight):
out_weight = weight.to(device_to)
patches = move_patch_to_device(patches, self.load_device if self.patch_on_device else self.offload_device)
# TODO: do we ever have legitimate duplicate patches? (i.e. patch on top of patched weight)
out_weight.patches = [(patches, key)]
else:
inplace_update = self.weight_inplace_update or inplace_update
if key not in self.backup:
self.backup[key] = collections.namedtuple('Dimension', ['weight', 'inplace_update'])(
weight.to(device=self.offload_device, copy=inplace_update), inplace_update
)
if device_to is not None:
temp_weight = comfy.model_management.cast_to_device(weight, device_to, torch.float32, copy=True)
else:
temp_weight = weight.to(torch.float32, copy=True)
out_weight = comfy.lora.calculate_weight(patches, temp_weight, key)
out_weight = comfy.float.stochastic_rounding(out_weight, weight.dtype)
if inplace_update:
comfy.utils.copy_to_param(self.model, key, out_weight)
else:
comfy.utils.set_attr_param(self.model, key, out_weight)
def unpatch_model(self, device_to=None, unpatch_weights=True):
if unpatch_weights:
for p in self.model.parameters():
if is_torch_compatible(p):
continue
patches = getattr(p, "patches", [])
if len(patches) > 0:
p.patches = []
# TODO: Find another way to not unload after patches
return super().unpatch_model(device_to=device_to, unpatch_weights=unpatch_weights)
def pin_weight_to_device(self, key):
op_key = key.rsplit('.', 1)[0]
if not self.mmap_released and op_key in self.named_modules_to_munmap:
# TODO: possible to OOM, find better way to detach
self.named_modules_to_munmap[op_key].to(self.load_device).to(self.offload_device)
del self.named_modules_to_munmap[op_key]
super().pin_weight_to_device(key)
mmap_released = False
named_modules_to_munmap = {}
def load(self, *args, force_patch_weights=False, **kwargs):
if not self.mmap_released:
self.named_modules_to_munmap = dict(self.model.named_modules())
# always call `patch_weight_to_device` even for lowvram
super().load(*args, force_patch_weights=True, **kwargs)
# make sure nothing stays linked to mmap after first load
if not self.mmap_released:
linked = []
if kwargs.get("lowvram_model_memory", 0) > 0:
for n, m in self.named_modules_to_munmap.items():
if hasattr(m, "weight"):
device = getattr(m.weight, "device", None)
if device == self.offload_device:
linked.append((n, m))
continue
if hasattr(m, "bias"):
device = getattr(m.bias, "device", None)
if device == self.offload_device:
linked.append((n, m))
continue
if linked and self.load_device != self.offload_device:
logging.info(f"Attempting to release mmap ({len(linked)})")
for n, m in linked:
# TODO: possible to OOM, find better way to detach
m.to(self.load_device).to(self.offload_device)
self.mmap_released = True
self.named_modules_to_munmap = {}
def clone(self, *args, **kwargs):
src_cls = self.__class__
self.__class__ = GGUFModelPatcher
n = super().clone(*args, **kwargs)
n.__class__ = GGUFModelPatcher
self.__class__ = src_cls
# GGUF specific clone values below
n.patch_on_device = getattr(self, "patch_on_device", False)
n.mmap_released = getattr(self, "mmap_released", False)
if src_cls != GGUFModelPatcher:
n.size = 0 # force recalc
return n
class UnetLoaderGGUF:
@classmethod
def INPUT_TYPES(s):
unet_names = [x for x in folder_paths.get_filename_list("unet_gguf")]
return {
"required": {
"unet_name": (unet_names,),
}
}
RETURN_TYPES = ("MODEL",)
FUNCTION = "load_unet"
CATEGORY = "bootleg"
TITLE = "Unet Loader (GGUF)"
def load_unet(self, unet_name, dequant_dtype=None, patch_dtype=None, patch_on_device=None):
ops = GGMLOps()
if dequant_dtype in ("default", None):
ops.Linear.dequant_dtype = None
elif dequant_dtype in ["target"]:
ops.Linear.dequant_dtype = dequant_dtype
else:
ops.Linear.dequant_dtype = getattr(torch, dequant_dtype)
if patch_dtype in ("default", None):
ops.Linear.patch_dtype = None
elif patch_dtype in ["target"]:
ops.Linear.patch_dtype = patch_dtype
else:
ops.Linear.patch_dtype = getattr(torch, patch_dtype)
# init model
unet_path = folder_paths.get_full_path("unet", unet_name)
sd, extra = gguf_sd_loader(unet_path)
kwargs = {}
valid_params = inspect.signature(comfy.sd.load_diffusion_model_state_dict).parameters
if "metadata" in valid_params:
kwargs["metadata"] = extra.get("metadata", {})
model = comfy.sd.load_diffusion_model_state_dict(
sd, model_options={"custom_operations": ops}, **kwargs,
)
if model is None:
logging.error("ERROR UNSUPPORTED UNET {}".format(unet_path))
raise RuntimeError("ERROR: Could not detect model type of: {}".format(unet_path))
model = GGUFModelPatcher.clone(model)
model.patch_on_device = patch_on_device
return (model,)
class UnetLoaderGGUFAdvanced(UnetLoaderGGUF):
@classmethod
def INPUT_TYPES(s):
unet_names = [x for x in folder_paths.get_filename_list("unet_gguf")]
return {
"required": {
"unet_name": (unet_names,),
"dequant_dtype": (["default", "target", "float32", "float16", "bfloat16"], {"default": "default"}),
"patch_dtype": (["default", "target", "float32", "float16", "bfloat16"], {"default": "default"}),
"patch_on_device": ("BOOLEAN", {"default": False}),
}
}
TITLE = "Unet Loader (GGUF/Advanced)"
class CLIPLoaderGGUF:
@classmethod
def INPUT_TYPES(s):
base = nodes.CLIPLoader.INPUT_TYPES()
return {
"required": {
"clip_name": (s.get_filename_list(),),
"type": base["required"]["type"],
}
}
RETURN_TYPES = ("CLIP",)
FUNCTION = "load_clip"
CATEGORY = "bootleg"
TITLE = "CLIPLoader (GGUF)"
@classmethod
def get_filename_list(s):
files = []
files += folder_paths.get_filename_list("clip")
files += folder_paths.get_filename_list("clip_gguf")
return sorted(files)
def load_data(self, ckpt_paths):
clip_data = []
for p in ckpt_paths:
if p.endswith(".gguf"):
sd = gguf_clip_loader(p)
else:
sd = comfy.utils.load_torch_file(p, safe_load=True)
if "scaled_fp8" in sd: # NOTE: Scaled FP8 would require different custom ops, but only one can be active
raise NotImplementedError(f"Mixing scaled FP8 with GGUF is not supported! Use regular CLIP loader or switch model(s)\n({p})")
clip_data.append(sd)
return clip_data
def load_patcher(self, clip_paths, clip_type, clip_data):
clip = comfy.sd.load_text_encoder_state_dicts(
clip_type = clip_type,
state_dicts = clip_data,
model_options = {
"custom_operations": GGMLOps,
"initial_device": comfy.model_management.text_encoder_offload_device()
},
embedding_directory = folder_paths.get_folder_paths("embeddings"),
)
clip.patcher = GGUFModelPatcher.clone(clip.patcher)
return clip
def load_clip(self, clip_name, type="stable_diffusion"):
clip_path = folder_paths.get_full_path("clip", clip_name)
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
return (self.load_patcher([clip_path], clip_type, self.load_data([clip_path])),)
class DualCLIPLoaderGGUF(CLIPLoaderGGUF):
@classmethod
def INPUT_TYPES(s):
base = nodes.DualCLIPLoader.INPUT_TYPES()
file_options = (s.get_filename_list(), )
return {
"required": {
"clip_name1": file_options,
"clip_name2": file_options,
"type": base["required"]["type"],
}
}
TITLE = "DualCLIPLoader (GGUF)"
def load_clip(self, clip_name1, clip_name2, type):
clip_path1 = folder_paths.get_full_path("clip", clip_name1)
clip_path2 = folder_paths.get_full_path("clip", clip_name2)
clip_paths = (clip_path1, clip_path2)
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
return (self.load_patcher(clip_paths, clip_type, self.load_data(clip_paths)),)
class TripleCLIPLoaderGGUF(CLIPLoaderGGUF):
@classmethod
def INPUT_TYPES(s):
file_options = (s.get_filename_list(), )
return {
"required": {
"clip_name1": file_options,
"clip_name2": file_options,
"clip_name3": file_options,
}
}
TITLE = "TripleCLIPLoader (GGUF)"
def load_clip(self, clip_name1, clip_name2, clip_name3, type="sd3"):
clip_path1 = folder_paths.get_full_path("clip", clip_name1)
clip_path2 = folder_paths.get_full_path("clip", clip_name2)
clip_path3 = folder_paths.get_full_path("clip", clip_name3)
clip_paths = (clip_path1, clip_path2, clip_path3)
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
return (self.load_patcher(clip_paths, clip_type, self.load_data(clip_paths)),)
class QuadrupleCLIPLoaderGGUF(CLIPLoaderGGUF):
@classmethod
def INPUT_TYPES(s):
file_options = (s.get_filename_list(), )
return {
"required": {
"clip_name1": file_options,
"clip_name2": file_options,
"clip_name3": file_options,
"clip_name4": file_options,
}
}
TITLE = "QuadrupleCLIPLoader (GGUF)"
def load_clip(self, clip_name1, clip_name2, clip_name3, clip_name4, type="stable_diffusion"):
clip_path1 = folder_paths.get_full_path("clip", clip_name1)
clip_path2 = folder_paths.get_full_path("clip", clip_name2)
clip_path3 = folder_paths.get_full_path("clip", clip_name3)
clip_path4 = folder_paths.get_full_path("clip", clip_name4)
clip_paths = (clip_path1, clip_path2, clip_path3, clip_path4)
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
return (self.load_patcher(clip_paths, clip_type, self.load_data(clip_paths)),)
NODE_CLASS_MAPPINGS = {
"UnetLoaderGGUF": UnetLoaderGGUF,
"CLIPLoaderGGUF": CLIPLoaderGGUF,
"DualCLIPLoaderGGUF": DualCLIPLoaderGGUF,
"TripleCLIPLoaderGGUF": TripleCLIPLoaderGGUF,
"QuadrupleCLIPLoaderGGUF": QuadrupleCLIPLoaderGGUF,
"UnetLoaderGGUFAdvanced": UnetLoaderGGUFAdvanced,
}