NokiMo
Furkan Gözükara
Furkan Gözükara

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Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well

1-Click to install Tencent InstantCharacter on Windows, RunPod and Massed Compute with more advanced Gradio App

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Latest installer zip file : InstantCharacter_v4.zip

4 September 2025 Update

Windows Requirements

14 May 2025 Update

Windows:

Massed Compute (Recommend Cloud) :

RunPod (Cloud):

Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well Tencent InstantCharacter 1-Click Installers for Windows, RunPod and Massed Compute, Supports RTX 5000 series as well

Comments

let me check and fix hopefully

Furkan Gözükara

i have resolved the error with putting my own HF token in the file. however, there is another one: Loading matting model from ZhengPeng7/BiRefNet... A new version of the following files was downloaded from https://huggingface.co/ZhengPeng7/BiRefNet: - BiRefNet_config.py . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. A new version of the following files was downloaded from https://huggingface.co/ZhengPeng7/BiRefNet: - birefnet.py . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. Error loading matting model: 'Config' object has no attribute 'is_encoder_decoder'

Błażej Porwoł

when running there are multiple errors like these: Failed to download initial LoRA Makoto_Shinkai_style.safetensors: 401 Client Error. (Request ID: Root=1-68b9d702-45081a8965fb7160472b5a8b;b96fdbc8-86a5-4326-9576-3bea27bc6020) Repository Not Found for url: https://huggingface.co/InstantX/FLUX.1-dev-LoRA-Makoto-Shinkai/resolve/main/Makoto_Shinkai_style.safetensors. Please make sure you specified the correct `repo_id` and `repo_type`. If you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication User Access Token "read_gated" is expired

Błażej Porwoł

will look at it hopefully soon

Furkan Gözükara

Thank you for your work on this, Dream0 looks good too.

Mark Sutherland

hopefully i will update this soon. currently it needs 48 gb but it will work on 24 gb. actually let me work on that now

Furkan Gözükara

Lol i shall bow to your superior skillage Doc, after hours of trying toi get this optimised version working i surrender........needs your magic

Nobodys Hero

i am following but no news yet :(

Furkan Gözükara

hare we closer to the quantization Doc?

Nobodys Hero

yes this requires 48 gb GPU atm. I am trying to reduce it to 24 GB if i can

Furkan Gözükara

Hello, I tried to upload your build, but after uploading the models, I get Error initializing the main pipeline: CUDA out of memory. Tried to allocate 90.00 MiB. GPU 0 has a total capacity of 12.00 GiB of which 0 bytes is free. Of the allocated memory 26.35 GiB is allocated by PyTorch, and 5.19 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) My graphics memory is 12gb. And at the same time, at the beginning of the download, it outputs LINK : fatal error LNK1181: the input file "io.lib" cannot be opened test.c LINK : fatal error LNK1181: the input file "cufile.lib" cannot be opened

Leonid Wolf

sadly not that i know :( we need quantization

Furkan Gözükara

Thanks! I installed this locally to Linux PC, but I think this tries to use only one GPU (I have two 24GB Nvidia). Is there a way to modify settings to use both of them?

Mika Kujanpää


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