StableDiffusion

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The original was posted on /r/stablediffusion by /u/SmaugPool on 2024-09-19 14:10:52+00:00.

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The original was posted on /r/stablediffusion by /u/Patient-Librarian-33 on 2024-09-19 12:20:16+00:00.

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The original was posted on /r/stablediffusion by /u/tintwotin on 2024-09-19 09:56:48+00:00.

Image to Video for CogVideoX-5b implemented in diffuserslib by zRdianjiao and Aryan V S has now been added to the free and open-source Blender VSE add-on: Pallaidium.

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The original was posted on /r/stablediffusion by /u/JBOOGZEE on 2024-09-19 08:56:14+00:00.

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The original was posted on /r/stablediffusion by /u/an303042 on 2024-09-19 08:15:52+00:00.

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The original was posted on /r/stablediffusion by /u/Junior_Economics7502 on 2024-09-18 19:54:38+00:00.

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The original was posted on /r/stablediffusion by /u/Old_Reach4779 on 2024-09-18 16:18:06+00:00.

Hugging face:

Hugging face space:

Github:

Comfyui node: (kijai just inserted i2v example workflow 😍)

License: Apache-2.0 license !

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The original was posted on /r/stablediffusion by /u/jerrydavos on 2024-09-18 16:16:21+00:00.

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The original was posted on /r/stablediffusion by /u/Old_Reach4779 on 2024-09-18 11:55:02+00:00.

source: https://github.com/THUDM/CogVideo/tree/CogVideoX_dev

edit2:

they released it!

edit:

Hugging face model just released! link

(still github main branch is not merged)

Today will be a long loooong loooooooooooooooooooooong day!

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The original was posted on /r/stablediffusion by /u/stableee on 2024-09-18 11:51:24+00:00.

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The original was posted on /r/stablediffusion by /u/hkunzhe on 2024-09-18 11:39:09+00:00.

Alibaba PAI have been using the EasyAnimate framework to fine-tune CogVideoX and open-sourced CogVideoX-Fun, which includes both 5B and 2B models. Compared to the original CogVideoX, we have added the I2V and V2V functionality and support for video generation at any resolution from 256x256x49 to 1024x1024x49.

HF Space:

Code:

ComfyUI node:

Models: &

Discord: 

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The original was posted on /r/stablediffusion by /u/an303042 on 2024-09-18 10:25:17+00:00.

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The original was posted on /r/stablediffusion by /u/tom83_be on 2024-09-17 18:21:14+00:00.

Update: Now runs with about 7 GB VRAM, see bold text on updated settings below!

I posted a guide (basically working settings) for OneTrainer LoRA/DoRA training here. There was a question concerning support for 8 GB VRAM. I tried a few settings and it seems to run at just below 8 GB VRAM. Since I do not own such a card I need people with these cards to validate it (maybe there are spikes that I do not see).

Please do the folkowing:

• Use the settings provided here:
• EMA OFF (training tab) => maybe not needed, see update below
• Rank = 16, Alpha = 16 (LoRA tab)
• activating "fused back pass" in the optimizer settings (training tab) seems to yield another 100MB of VRAM saving => maybe not needed, see update below
• "LoRA weight data type" (LoRA tab) to bfloat16 again saves some VRAM. => maybe not needed, see update below
• Update: You can also set "gradient checkpointing" to "CPU_OFFLOADED" in the "training"-tab. After that it runs with less than 7 GB VRAM, but a bit slower for me (3,7 s/it vs. 3.4 s/it). Thanks to u/setothegreat for that idea! If you keep EMA enabled, still use float32 as the "LoRA weight data type" and also do not activate "fused back pass", it still runs at 7,2 GB VRAM and 3,9 s/it for me. So it might be enough to
  • Use the settings provided here: https://www.reddit.com/r/StableDiffusion/comments/1fiszxb/onetrainer_settings_for_flux1_lora_and_dora/
  • Rank = 16, Alpha = 16 (LoRA tab)
  • set "gradient checkpointing" to "CPU_OFFLOADED" in the (training tab)

It now trains with just below 7,8 / 7,9 GB of VRAM. I would like to get feedback from 8 GB VRAM users if this works.

I can also give no guarantee on quality/success of the training! Let's find out together!

PS: I am using my card for training/AI only; the operating system is using the internal GPU, so all of my VRAM is free. For 8 GB VRAM users this might be crucial to get it to work...

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The original was posted on /r/stablediffusion by /u/Secure-Message-8378 on 2024-09-18 00:52:17+00:00.

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The original was posted on /r/stablediffusion by /u/RalFingerLP on 2024-09-17 21:11:07+00:00.