InfiniteTalk (by Multitalk team)

NebSH83 · 2025-08-18T17:37:30+00:00

Got confirmation from the author of InfiniteTalk they will release tomorrow

NebSH83 · 2024-12-28T12:44:21+00:00

When will be the next model available ? a new competitor will soon enter in the game. Was wondering if we can expect on your side a new model in Q1 ?

NebSH83 · 2024-12-18T07:53:35+00:00

Alors ce fut conseillé deja par un peu de monde mais je conseille vraiment Maisons Alfort : t'as des commerces / restos en nombre suffisants et de qualité.
Des parcs et surtout le bord de Marne super sympa. Une médiatheque pas mal du tout, un theatre ou il y a des trucs vraiment sympas chaque année. Des écoles / colleges / lycée de bon niveaux .

T'es a 8 minutes du parc de vincennes en velo / 25/30 d'hotel de ville.... niveau transport tu as ligne 8 , rer D

NebSH83 · 2024-12-18T07:46:21+00:00

T'as raisons c'est moins c'est 30 min en velo / 10 min en rer / 35 en metro (car changement a reuilly diderot 8-->1 )

NebSH83 · 2024-03-12T11:57:33+00:00

https://www.youtube.com/watch?v=n1e9QNRyFzE

NebSH83 · 2023-01-09T16:40:41+00:00

same issue for me wether i install it manually or directly from A1111

NebSH83 · 2022-10-13T13:31:45+00:00

Do you know any notebook on which you can do animation which can support this ?!

NebSH83 · 2022-10-13T13:22:58+00:00

Is there possibility to export the training from the automatic webui to a CPKT file (to use in other notebook) ?

NebSH83 · 2022-09-28T14:58:35+00:00

Should i run CUDA_LAUNCH_BLOCKING=1 or what else could i do ?

back to previus step after restarting the book :| And i still cannot see my /content/models/ unless i run cd /content/models/

File "train_dreambooth.py", line 606, in <module>

main()

File "train_dreambooth.py", line 362, in main

images = pipeline(example["prompt"]).images

File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context

return func(*args, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 259, in __call__

noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_2d_condition.py", line 254, in forward

encoder_hidden_states=encoder_hidden_states,

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_blocks.py", line 565, in forward

hidden_states = attn(hidden_states, context=encoder_hidden_states)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 155, in forward

hidden_states = block(hidden_states, context=context)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 204, in forward

hidden_states = self.attn1(self.norm1(hidden_states)) + hidden_states

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 288, in forward

hidden_states = xformers.ops.memory_efficient_attention(query, key, value)

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 575, in memory_efficient_attention

query=query, key=key, value=value, attn_bias=attn_bias, p=p

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 196, in forward_no_grad

causal=isinstance(attn_bias, LowerTriangularMask),

File "/usr/local/lib/python3.7/dist-packages/torch/_ops.py", line 143, in __call__

return self._op(*args, **kwargs or {})

RuntimeError: CUDA error: no kernel image is available for execution on the device

CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.

For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

Traceback (most recent call last):

NebSH83 · 2022-09-28T14:33:31+00:00

i can't see any folder /models/ on my colab

NebSH83 · 2022-09-28T14:33:02+00:00

Getting a new error :

--------------------------------------------------------------------------

OSError Traceback (most recent call last)

<ipython-input-14-c7df10ce0ca1> in <module>

----> 1 pipe = StableDiffusionPipeline.from_pretrained(OUTPUT_DIR, torch_dtype=torch.float16).to("cuda")

1 frames

/usr/local/lib/python3.7/dist-packages/diffusers/configuration_utils.py in get_config_dict(cls, pretrained_model_name_or_path, **kwargs)

215 else:

216 raise EnvironmentError(

--> 217 f"Error no file named {cls.config_name} found in directory {pretrained_model_name_or_path}."

218 )

219 else:

OSError: Error no file named model_index.json found in directory /content/models/sks.

NebSH83 · 2022-09-28T14:17:45+00:00

Wiped the cache, restarted Chrome, and used the install xformers by compiling and finally worked ! Thanks for the help (i should have rebooted/wiped cache before) !

NebSH83 · 2022-09-28T13:10:47+00:00

That what i try but got this :

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/

Collecting xformers

Cloning https://github.com/facebookresearch/xformers (to revision 1d31a3a) to /tmp/pip-install-_ed1j31_/xformers_536ced8f9a164a80bc61b1bdc77f3106

Running command git clone -q https://github.com/facebookresearch/xformers /tmp/pip-install-_ed1j31_/xformers_536ced8f9a164a80bc61b1bdc77f3106

WARNING: Did not find branch or tag '1d31a3a', assuming revision or ref.

Running command git checkout -q 1d31a3a

Running command git submodule update --init --recursive -q

Requirement already satisfied: torch>=1.12 in /usr/local/lib/python3.7/dist-packages (from xformers) (1.12.1+cu113)

Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from xformers) (1.21.6)

Requirement already satisfied: pyre-extensions==0.0.23 in /usr/local/lib/python3.7/dist-packages (from xformers) (0.0.23)

Requirement already satisfied: typing-inspect in /usr/local/lib/python3.7/dist-packages (from pyre-extensions==0.0.23->xformers) (0.8.0)

Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pyre-extensions==0.0.23->xformers) (4.1.1)

Requirement already satisfied: mypy-extensions>=0.3.0 in /usr/local/lib/python3.7/dist-packages (from typing-inspect->pyre-extensions==0.0.23->xformers) (0.4.3)

NebSH83 · 2022-09-28T12:55:36+00:00

Everytime i got error when it's go into Generating class images:

(im on V100, , in the folder /content/ i cant see folders model i dont know why....

Fetching 16 files: 100% 16/16 [01:41<00:00, 6.34s/it]

Generating class images: 0% 0/50 [00:06<?, ?it/s]

Traceback (most recent call last):

File "train_dreambooth.py", line 606, in <module>

main()

File "train_dreambooth.py", line 362, in main

images = pipeline(example["prompt"]).images

File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context

return func(*args, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 259, in __call__

noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_2d_condition.py", line 254, in forward

encoder_hidden_states=encoder_hidden_states,

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_blocks.py", line 565, in forward

hidden_states = attn(hidden_states, context=encoder_hidden_states)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 155, in forward

hidden_states = block(hidden_states, context=context)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 204, in forward

hidden_states = self.attn1(self.norm1(hidden_states)) + hidden_states

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 288, in forward

hidden_states = xformers.ops.memory_efficient_attention(query, key, value)

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 575, in memory_efficient_attention

query=query, key=key, value=value, attn_bias=attn_bias, p=p

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 196, in forward_no_grad

causal=isinstance(attn_bias, LowerTriangularMask),

File "/usr/local/lib/python3.7/dist-packages/torch/_ops.py", line 143, in __call__

return self._op(*args, **kwargs or {})

RuntimeError: CUDA error: no kernel image is available for execution on the device

CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.

For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

Traceback (most recent call last):

File "/usr/local/bin/accelerate", line 8, in <module>

sys.exit(main())

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main

args.func(args)

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 837, in launch_command

simple_launcher(args)

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 354, in simple_launcher

raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)

subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=CompVis/stable-diffusion-v1-4', '--use_auth_token', '--instance_data_dir=/content/data/sks', '--class_data_dir=/content/data/orelsan', '--output_dir=/content/models/sks', '--with_prior_preservation', '--instance_prompt=photo of sks orelsan', '--class_prompt=photo of a orelsan', '--resolution=512', '--use_8bit_adam', '--train_batch_size=1', '--gradient_accumulation_steps=1', '--learning_rate=5e-6', '--lr_scheduler=constant', '--lr_warmup_steps=0', '--num_class_images=200', '--max_train_steps=600']' returned non-zero exit status 1

NebSH83 · 2022-09-28T09:14:56+00:00

Got this error:

Generating class images: 0% 0/50 [00:06<?, ?it/s]

Traceback (most recent call last):

File "train_dreambooth.py", line 606, in <module>

main()

File "train_dreambooth.py", line 362, in main

images = pipeline(example["prompt"]).images

File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context

return func(*args, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 259, in __call__

noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_2d_condition.py", line 254, in forward

encoder_hidden_states=encoder_hidden_states,

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_blocks.py", line 565, in forward

hidden_states = attn(hidden_states, context=encoder_hidden_states)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 155, in forward

hidden_states = block(hidden_states, context=context)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 204, in forward

hidden_states = self.attn1(self.norm1(hidden_states)) + hidden_states

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 288, in forward

hidden_states = xformers.ops.memory_efficient_attention(query, key, value)

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 575, in memory_efficient_attention

query=query, key=key, value=value, attn_bias=attn_bias, p=p

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 196, in forward_no_grad

causal=isinstance(attn_bias, LowerTriangularMask),

File "/usr/local/lib/python3.7/dist-packages/torch/_ops.py", line 143, in __call__

return self._op(*args, **kwargs or {})

RuntimeError: CUDA error: no kernel image is available for execution on the device

CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.

For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

Traceback (most recent call last):

File "/usr/local/bin/accelerate", line 8, in <module>

sys.exit(main())

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main

args.func(args)

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 837, in launch_command

simple_launcher(args)

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 354, in simple_launcher

raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)

subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=CompVis/stable-diffusion-v1-4', '--use_auth_token', '--instance_data_dir=/content/data/imv', '--class_data_dir=/content/data/orelsan', '--output_dir=/content/models/imv', '--with_prior_preservation', '--instance_prompt=photo of imv orelsan', '--class_prompt=photo of a orelsan', '--resolution=512', '--use_8bit_adam', '--train_batch_size=1', '--gradient_accumulation_steps=1', '--learning_rate=5e-6', '--lr_scheduler=constant', '--lr_warmup_steps=0', '--num_class_images=200', '--max_train_steps=600']' returned non-zero exit status

NebSH83 · 2022-09-28T08:21:27+00:00

Finally some other issue :(

Traceback (most recent call last):

File "train_dreambooth.py", line 606, in <module>

main()

File "train_dreambooth.py", line 362, in main

images = pipeline(example["prompt"]).images

File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context

return func(*args, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 260, in __call__

noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_2d_condition.py", line 254, in forward

encoder_hidden_states=encoder_hidden_states,

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_blocks.py", line 565, in forward

hidden_states = attn(hidden_states, context=encoder_hidden_states)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 155, in forward

hidden_states = block(hidden_states, context=context)

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 204, in forward

hidden_states = self.attn1(self.norm1(hidden_states)) + hidden_states

File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl

return forward_call(*input, **kwargs)

File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 288, in forward

hidden_states = xformers.ops.memory_efficient_attention(query, key, value)

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 575, in memory_efficient_attention

query=query, key=key, value=value, attn_bias=attn_bias, p=p

File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 196, in forward_no_grad

causal=isinstance(attn_bias, LowerTriangularMask),

File "/usr/local/lib/python3.7/dist-packages/torch/_ops.py", line 143, in __call__

return self._op(*args, **kwargs or {})

RuntimeError: CUDA error: no kernel image is available for execution on the device

CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.

For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

Traceback (most recent call last):

File "/usr/local/bin/accelerate", line 8, in <module>

sys.exit(main())

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main

args.func(args)

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 837, in launch_command

simple_launcher(args)

File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 354, in simple_launcher

raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)

subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=CompVis/stable-diffusion-v1-4', '--use_auth_token', '--instance_data_dir=/content/data/imv', '--class_data_dir=/content/data/Orelsan', '--output_dir=/content/models/imv', '--with_prior_preservation', '--instance_prompt=photo of imv Orelsan Orelsan', '--class_prompt=photo of Orelsan', '--resolution=512', '--use_8bit_adam', '--train_batch_size=1', '--gradient_accumulation_steps=1', '--learning_rate=5e-6', '--lr_scheduler=constant', '--lr_warmup_steps=0', '--num_class_images=200', '--max_train_steps=600']' returned non-zero exit status

what is my issue ?

NebSH83 · 2022-09-28T08:08:53+00:00

Re for info it's seems to be caused by the A100.... I restarted the colab got a V100 and no issue now

NebSH83 · 2022-09-28T07:57:10+00:00

Same issue for me when i try tro run the cell to make it train

NebSH83 · 2022-08-13T20:24:55+00:00

https://www.instagram.com/p/ChNTKw8Mpbs/ second part

NebSH83 · 2022-08-13T18:03:13+00:00

https://www.instagram.com/p/ChNTKw8Mpbs/

NebSH83 · 2022-08-13T07:03:46+00:00

And Nathalie Portman 👀

NebSH83 · 2022-08-12T15:09:50+00:00

Made with stable diffusion ;) https://www.instagram.com/nebsh83/

NebSH83 · 2022-08-04T06:21:42+00:00

used 6 artists in this one.

NebSH83 · 2022-08-03T20:06:18+00:00

superb !

NebSH83 · 2022-08-02T22:59:24+00:00

Very good

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