0.0.14dev0 source to rebuild #650
Comments
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this one? 1d31a3a |
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Hey, I wrote that wiki page. Try this wheel I built yesterday. |
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because you are on torch 1.13.1+cu116 you can use this one https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/tag/torch13 |
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Not 100% sure on what broke dreambooth on later versions, but even flat 0.0.14 doesn't work, i built a good amount of version even the ones suggested on another post, only 0.14dev0 works for training |
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0.0.17dev476 was also working but they removed that one too |
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Is there a way to build 0.0.14dev0 nowadays? or 0.0.17dev476? Edit: NVM, managed to do it. Finally can train again. |
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According to this tutorial https://github.com/d8ahazard/sd_dreambooth_extension/wiki/Extremely-Experimental-Libs
sd_extension_dreambooth now supports only xformers 0.0.14.dev0 but if I install this version from wheel package https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
But with this whl package, while loading web-ui I get error:
Need to compile C++ extensions to get sparse attention suport. Please run python setup.py build develop
and when Im trying txt2img I get this error:
Traceback (most recent call last):
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\txt2img.py", line 52, in txt2img
processed = process_images(p)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\processing.py", line 480, in process_images
res = process_images_inner(p)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\processing.py", line 609, in process_images_inner
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\processing.py", line 801, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\sd_samplers.py", line 544, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\sd_samplers.py", line 447, in launch_sampling
return func()
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\sd_samplers.py", line 544, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\sd_samplers.py", line 337, in forward
x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]})
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
x_recon = self.model(x_noisy, t, **cond)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1329, in forward
out = self.diffusion_model(x, t, context=cc)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 776, in forward
h = module(h, emb, context)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 84, in forward
x = layer(x, context)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 324, in forward
x = block(x, context=context[i])
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\sd_hijack_checkpoint.py", line 4, in BasicTransformerBlock_forward
return checkpoint(self._forward, x, context)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\checkpoint.py", line 249, in checkpoint
return CheckpointFunction.apply(function, preserve, *args)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\checkpoint.py", line 107, in forward
outputs = run_function(*args)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 262, in _forward
x = self.attn1(self.norm1(x), context=context if self.disable_self_attn else None) + x
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\modules\sd_hijack_optimizations.py", line 293, in xformers_attention_forward
out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\xformers\ops.py", line 862, in memory_efficient_attention
return op.forward_no_grad(
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\xformers\ops.py", line 305, in forward_no_grad
return cls.FORWARD_OPERATOR(
File "C:\Software\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\xformers\ops.py", line 46, in no_such_operator
raise RuntimeError(
RuntimeError: No such operator xformers::efficient_attention_forward_cutlass - did you forget to build xformers with
python setup.py develop?So I think that I need to rebuild xformers. But if I rebuild Im getting unsupported version 0.0.16.
The question is how to build 0.0.14.dev0? Where to get sources for that version?
Windows 22H2
My Current venv pip freeze:
absl-py==1.3.0
accelerate==0.12.0
addict==2.4.0
aenum==3.1.11
aiohttp==3.8.3
aiosignal==1.3.1
albumentations==1.3.0
altair==4.2.0
antlr4-python3-runtime==4.9.3
anyio==3.6.2
asttokens==2.2.1
astunparse==1.6.3
async-timeout==4.0.2
attrs==22.1.0
backcall==0.2.0
basicsr==1.4.2
bcrypt==4.0.1
beautifulsoup4==4.11.1
bitsandbytes==0.35.0
blendmodes==2022
blis==0.7.9
boltons==21.0.0
cachetools==5.2.0
catalogue==2.0.8
certifi==2022.12.7
cffi==1.15.1
chardet==4.0.0
charset-normalizer==2.1.1
clean-fid==0.1.29
click==7.1.2
clip @ git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1
cmake==3.25.0
colorama==0.4.6
coloredlogs==15.0.1
confection==0.0.3
contourpy==1.0.6
cryptography==38.0.4
cycler==0.11.0
cymem==2.0.7
decorator==4.4.2
deprecation==2.1.0
diffusers==0.10.2
discord-webhook==1.0.0
dynamicprompts==0.3.0
einops==0.4.1
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.1/en_core_web_sm-3.4.1.tar.gz
entrypoints==0.4
executing==1.2.0
facexlib==0.2.5
fairscale==0.4.9
fastapi==0.87.0
ffmpy==0.3.0
filelock==3.8.2
filterpy==1.4.5
flatbuffers==22.12.6
font-roboto==0.0.1
fonts==0.0.3
fonttools==4.38.0
frozenlist==1.3.3
fsspec==2022.11.0
ftfy==6.1.1
future==0.18.2
gast==0.4.0
gdown==4.6.0
gfpgan==1.3.8
gitdb==4.0.10
GitPython==3.1.27
google-auth==2.15.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
gradio==3.15.0
grpcio==1.51.1
h11==0.12.0
h5py==3.7.0
httpcore==0.15.0
httpx==0.23.1
huggingface-hub==0.11.1
humanfriendly==10.0
idna==2.10
imageio==2.22.4
imageio-ffmpeg==0.4.7
importlib-metadata==5.1.0
inflection==0.5.1
install==1.3.5
invisible-watermark==0.1.5
ipython==8.6.0
jedi==0.18.2
Jinja2==3.1.2
joblib==1.2.0
jsonmerge==1.8.0
jsonschema==4.17.3
keras==2.11.0
kiwisolver==1.4.4
kornia==0.6.7
langcodes==3.3.0
lark==1.1.2
libclang==14.0.6
linkify-it-py==1.0.3
lit==15.0.6
llvmlite==0.39.1
lmdb==1.4.0
lpips==0.1.4
Markdown==3.4.1
markdown-it-py==2.1.0
MarkupSafe==2.1.1
matplotlib==3.6.2
matplotlib-inline==0.1.6
mdit-py-plugins==0.3.3
mdurl==0.1.2
modelcards==0.1.6
moviepy==1.0.3
mpmath==1.2.1
multidict==6.0.3
murmurhash==1.0.9
mypy-extensions==0.4.3
networkx==3.0
ninja==1.11.1
numba==0.56.4
numpy==1.23.3
oauthlib==3.2.2
omegaconf==2.2.3
onnx==1.13.0
onnxruntime==1.13.1
open-clip-torch==2.6.1
opencv-python==4.6.0.66
opencv-python-headless==4.6.0.66
opt-einsum==3.3.0
orjson==3.8.3
packaging==22.0
pandas==1.5.2
paramiko==2.12.0
parso==0.8.3
pathy==0.10.1
pickleshare==0.7.5
piexif==1.1.3
Pillow==9.4.0
pip-chill==1.0.1
preshed==3.0.8
proglog==0.1.10
prompt-toolkit==3.0.36
protobuf==3.19.6
psutil==5.9.4
pure-eval==0.2.2
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.21
pycryptodome==3.16.0
pydantic==1.8.2
pyDeprecate==0.3.2
pydub==0.25.1
Pygments==2.13.0
PyNaCl==1.5.0
pyparsing==3.0.9
pyre-extensions==0.0.23
pyreadline3==3.4.1
pyrsistent==0.19.2
PySocks==1.7.1
python-dateutil==2.8.2
python-multipart==0.0.4
pytorch-lightning==1.7.6
pytz==2022.6
PyWavelets==1.4.1
PyYAML==6.0
qudida==0.0.4
realesrgan==0.3.0
regex==2022.10.31
requests==2.25.1
requests-oauthlib==1.3.1
resize-right==0.0.2
rfc3986==1.5.0
rsa==4.9
safetensors==0.2.7
scikit-image==0.19.2
scikit-learn==1.2.0
scipy==1.9.3
seaborn==0.12.1
Send2Trash==1.8.0
sentencepiece==0.1.97
six==1.16.0
smart-open==6.3.0
smmap==5.0.0
sniffio==1.3.0
soupsieve==2.3.2.post1
spacy==3.4.4
spacy-legacy==3.0.10
spacy-loggers==1.0.4
srsly==2.4.5
stack-data==0.6.2
starlette==0.21.0
sympy==1.11.1
tabulate==0.9.0
tb-nightly==2.12.0a20221208
tensorboard==2.11.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.11.0
tensorflow-estimator==2.11.0
tensorflow-intel==2.11.0
tensorflow-io-gcs-filesystem==0.28.0
termcolor==2.1.1
thinc==8.1.5
threadpoolctl==3.1.0
tifffile==2022.10.10
timm==0.6.7
tokenizers==0.12.1
toolz==0.12.0
torch==1.13.1+cu116
torchaudio==0.13.1+cu116
torchdiffeq==0.2.3
torchmetrics==0.11.0
torchsde==0.2.5
torchvision==0.14.1+cu116
tqdm==4.64.1
traitlets==5.7.1
trampoline==0.1.2
transformers==4.19.2
typer==0.3.2
typing-inspect==0.8.0
typing_extensions==4.4.0
uc-micro-py==1.0.1
urllib3==1.26.14
uvicorn==0.20.0
wasabi==0.10.1
wcwidth==0.2.5
websockets==10.4
Werkzeug==2.2.2
wrapt==1.14.1
xformers @ https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
yapf==0.32.0
yarl==1.8.2
zipp==3.11.0
installed NVIDIA CUDA versions
My CUDA system env variables
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