Commit
·
d7aee24
1
Parent(s):
931fb15
fix
Browse files
LICENSE.txt
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
BSD 2-Clause License
|
| 2 |
+
|
| 3 |
+
Copyright (c) 2024, Advanced Intelligent Machines (AIM)
|
| 4 |
+
|
| 5 |
+
Redistribution and use in source and binary forms, with or without
|
| 6 |
+
modification, are permitted provided that the following conditions are met:
|
| 7 |
+
|
| 8 |
+
1. Redistributions of source code must retain the above copyright notice, this
|
| 9 |
+
list of conditions and the following disclaimer.
|
| 10 |
+
|
| 11 |
+
2. Redistributions in binary form must reproduce the above copyright notice,
|
| 12 |
+
this list of conditions and the following disclaimer in the documentation
|
| 13 |
+
and/or other materials provided with the distribution.
|
| 14 |
+
|
| 15 |
+
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
| 16 |
+
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
| 17 |
+
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
| 18 |
+
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
| 19 |
+
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
| 20 |
+
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
| 21 |
+
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
| 22 |
+
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
| 23 |
+
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
| 24 |
+
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
model_index.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "GenPerceptPipeline",
|
| 3 |
+
"_diffusers_version": "0.24.0",
|
| 4 |
+
"unet": [
|
| 5 |
+
"diffusers",
|
| 6 |
+
"UNet2DConditionModel"
|
| 7 |
+
],
|
| 8 |
+
"vae": [
|
| 9 |
+
"diffusers",
|
| 10 |
+
"AutoencoderKL"
|
| 11 |
+
]
|
| 12 |
+
}
|
config.json → unet_seg_v2/config.json
RENAMED
|
File without changes
|
diffusion_pytorch_model.safetensors → unet_seg_v2/diffusion_pytorch_model.safetensors
RENAMED
|
File without changes
|
vae/config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKL",
|
| 3 |
+
"_diffusers_version": "0.24.0",
|
| 4 |
+
"_name_or_path": "checkpoint/stable-diffusion-2-1",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"block_out_channels": [
|
| 7 |
+
128,
|
| 8 |
+
256,
|
| 9 |
+
512,
|
| 10 |
+
512
|
| 11 |
+
],
|
| 12 |
+
"down_block_types": [
|
| 13 |
+
"DownEncoderBlock2D",
|
| 14 |
+
"DownEncoderBlock2D",
|
| 15 |
+
"DownEncoderBlock2D",
|
| 16 |
+
"DownEncoderBlock2D"
|
| 17 |
+
],
|
| 18 |
+
"force_upcast": true,
|
| 19 |
+
"in_channels": 3,
|
| 20 |
+
"latent_channels": 4,
|
| 21 |
+
"layers_per_block": 2,
|
| 22 |
+
"norm_num_groups": 32,
|
| 23 |
+
"out_channels": 3,
|
| 24 |
+
"sample_size": 768,
|
| 25 |
+
"scaling_factor": 0.18215,
|
| 26 |
+
"up_block_types": [
|
| 27 |
+
"UpDecoderBlock2D",
|
| 28 |
+
"UpDecoderBlock2D",
|
| 29 |
+
"UpDecoderBlock2D",
|
| 30 |
+
"UpDecoderBlock2D"
|
| 31 |
+
]
|
| 32 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e4c08995484ee61270175e9e7a072b66a6e4eeb5f0c266667fe1f45b90daf9a
|
| 3 |
+
size 167335342
|