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ComfyUI_bitsandbytes_NF4/LICENSE.txt

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+                       Version 3, 19 November 2007
+
+                    Copyright (c) 2023 AUTOMATIC1111
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU Affero General Public License is a free, copyleft license for
+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+our General Public Licenses are intended to guarantee your freedom to
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+
+  When we speak of free software, we are referring to freedom, not
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+  Developers that use our General Public Licenses protect your rights
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+you this License which gives you legal permission to copy, distribute
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+  A secondary benefit of defending all users' freedom is that
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+software used on network servers, this result may fail to come about.
+The GNU General Public License permits making a modified version and
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+  An older license, called the Affero General Public License and
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+
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+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.
+
+
+---------------------------------Facebook BNB-------------------------------
+
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

ComfyUI_bitsandbytes_NF4/README.md

@@ -0,0 +1,9 @@
+Now on the [manager](https://github.com/ltdrdata/ComfyUI-Manager) for easy installation.
+
+A quickly written custom node that uses code from [Forge](https://github.com/lllyasviel/stable-diffusion-webui-forge) to support the [nf4 flux dev checkpoint](https://huggingface.co/lllyasviel/flux1-dev-bnb-nf4/blob/main/flux1-dev-bnb-nf4.safetensors) and [nf4 flux schnell checkpoint](https://huggingface.co/silveroxides/flux1-nf4-weights/blob/main/flux1-schnell-bnb-nf4.safetensors).
+
+Requires installing bitsandbytes.
+
+Make sure your ComfyUI is updated.
+
+The node is: CheckpointLoaderNF4, just plug it in your flux workflow instead of the regular one.

ComfyUI_bitsandbytes_NF4/__init__.py

@@ -0,0 +1,201 @@
+#shamelessly taken from forge
+
+import nodes
+import folder_paths
+
+import bitsandbytes
+
+import torch
+import bitsandbytes as bnb
+
+from bitsandbytes.nn.modules import Params4bit, QuantState
+
+
+def functional_linear_4bits(x, weight, bias):
+    out = bnb.matmul_4bit(x, weight.t(), bias=bias, quant_state=weight.quant_state)
+    out = out.to(x)
+    return out
+
+
+def copy_quant_state(state: QuantState, device: torch.device = None) -> QuantState:
+    if state is None:
+        return None
+
+    device = device or state.absmax.device
+
+    state2 = (
+        QuantState(
+            absmax=state.state2.absmax.to(device),
+            shape=state.state2.shape,
+            code=state.state2.code.to(device),
+            blocksize=state.state2.blocksize,
+            quant_type=state.state2.quant_type,
+            dtype=state.state2.dtype,
+        )
+        if state.nested
+        else None
+    )
+
+    return QuantState(
+        absmax=state.absmax.to(device),
+        shape=state.shape,
+        code=state.code.to(device),
+        blocksize=state.blocksize,
+        quant_type=state.quant_type,
+        dtype=state.dtype,
+        offset=state.offset.to(device) if state.nested else None,
+        state2=state2,
+    )
+
+
+class ForgeParams4bit(Params4bit):
+    def to(self, *args, **kwargs):
+        device, dtype, non_blocking, convert_to_format = torch._C._nn._parse_to(*args, **kwargs)
+        if device is not None and device.type == "cuda" and not self.bnb_quantized:
+            return self._quantize(device)
+        else:
+            n = ForgeParams4bit(
+                torch.nn.Parameter.to(self, device=device, dtype=dtype, non_blocking=non_blocking),
+                requires_grad=self.requires_grad,
+                quant_state=copy_quant_state(self.quant_state, device),
+                blocksize=self.blocksize,
+                compress_statistics=self.compress_statistics,
+                quant_type=self.quant_type,
+                quant_storage=self.quant_storage,
+                bnb_quantized=self.bnb_quantized,
+                module=self.module
+            )
+            self.module.quant_state = n.quant_state
+            self.data = n.data
+            self.quant_state = n.quant_state
+            return n
+
+
+class ForgeLoader4Bit(torch.nn.Module):
+    def __init__(self, *, device, dtype, quant_type, **kwargs):
+        super().__init__()
+        self.dummy = torch.nn.Parameter(torch.empty(1, device=device, dtype=dtype))
+        self.weight = None
+        self.quant_state = None
+        self.bias = None
+        self.quant_type = quant_type
+
+    def _save_to_state_dict(self, destination, prefix, keep_vars):
+        super()._save_to_state_dict(destination, prefix, keep_vars)
+        quant_state = getattr(self.weight, "quant_state", None)
+        if quant_state is not None:
+            for k, v in quant_state.as_dict(packed=True).items():
+                destination[prefix + "weight." + k] = v if keep_vars else v.detach()
+        return
+
+    def _load_from_state_dict(self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs):
+        global current_nf4_version
+        quant_state_keys = {k[len(prefix + "weight."):] for k in state_dict.keys() if k.startswith(prefix + "weight.")}
+
+        if any('bitsandbytes' in k for k in quant_state_keys):
+            quant_state_dict = {k: state_dict[prefix + "weight." + k] for k in quant_state_keys}
+
+            self.weight = ForgeParams4bit.from_prequantized(
+                data=state_dict[prefix + 'weight'],
+                quantized_stats=quant_state_dict,
+                requires_grad=False,
+                device=self.dummy.device,
+                module=self
+            )
+            self.quant_state = self.weight.quant_state
+
+            if prefix + 'bias' in state_dict:
+                self.bias = torch.nn.Parameter(state_dict[prefix + 'bias'].to(self.dummy))
+
+            del self.dummy
+        elif hasattr(self, 'dummy'):
+            if prefix + 'weight' in state_dict:
+                if current_nf4_version == 'v2':
+                    print(f'ForgeLoader4Bit: v2')
+                    self.weight = ForgeParams4bit(
+                        state_dict[prefix + 'weight'].to(self.dummy),
+                        requires_grad=False,
+                        compress_statistics=False,
+                        blocksize=64,
+                        quant_type=self.quant_type,
+                        quant_storage=torch.uint8,
+                        module=self,
+                    )
+                else:
+                    self.weight = ForgeParams4bit(
+                        state_dict[prefix + 'weight'].to(self.dummy),
+                        requires_grad=False,
+                        compress_statistics=True,
+                        quant_type=self.quant_type,
+                        quant_storage=torch.uint8,
+                        module=self,
+                    )
+                self.quant_state = self.weight.quant_state
+
+            if prefix + 'bias' in state_dict:
+                self.bias = torch.nn.Parameter(state_dict[prefix + 'bias'].to(self.dummy))
+
+            del self.dummy
+        else:
+            super()._load_from_state_dict(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs)
+
+current_device = None
+current_dtype = None
+current_manual_cast_enabled = False
+current_bnb_dtype = None
+current_nf4_version = 'v1'
+
+import comfy.ops
+
+class OPS(comfy.ops.manual_cast):
+    class Linear(ForgeLoader4Bit):
+        def __init__(self, *args, device=None, dtype=None, **kwargs):
+            super().__init__(device=device, dtype=dtype, quant_type=current_bnb_dtype)
+            self.parameters_manual_cast = current_manual_cast_enabled
+
+        def forward(self, x):
+            self.weight.quant_state = self.quant_state
+
+            if self.bias is not None and self.bias.dtype != x.dtype:
+                # Maybe this can also be set to all non-bnb ops since the cost is very low.
+                # And it only invokes one time, and most linear does not have bias
+                self.bias.data = self.bias.data.to(x.dtype)
+
+            if not self.parameters_manual_cast:
+                return functional_linear_4bits(x, self.weight, self.bias)
+            elif not self.weight.bnb_quantized:
+                assert x.device.type == 'cuda', 'BNB Must Use CUDA as Computation Device!'
+                layer_original_device = self.weight.device
+                self.weight = self.weight._quantize(x.device)
+                bias = self.bias.to(x.device) if self.bias is not None else None
+                out = functional_linear_4bits(x, self.weight, bias)
+                self.weight = self.weight.to(layer_original_device)
+                return out
+            else:
+                weight, bias, signal = weights_manual_cast(self, x, skip_weight_dtype=True, skip_bias_dtype=True)
+                with main_stream_worker(weight, bias, signal):
+                    return functional_linear_4bits(x, weight, bias)
+
+
+class CheckpointLoaderNF4:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ),
+                             }}
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+    FUNCTION = "load_checkpoint"
+
+    CATEGORY = "loaders"
+
+    def load_checkpoint(self, ckpt_name):
+        global current_nf4_version
+        ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
+        if 'bnb-nf4-v2' in ckpt_name:
+            current_nf4_version = 'v2'
+        out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"), model_options={"custom_operations": OPS})
+        return out[:3]
+
+NODE_CLASS_MAPPINGS = {
+    "CheckpointLoaderNF4": CheckpointLoaderNF4,
+}
+

ComfyUI_bitsandbytes_NF4/requirements.txt

@@ -0,0 +1 @@
+bitsandbytes>=0.43.0