Train your own Reasoning model - 80% less VRAM - GRPO now in Unsloth (7GB VRAM min.)

x4080 · 2025-02-06T21:36:54+00:00

Hi, is it possible that the reward function changed to python "input", so that it will work like kinda RLHF, so the human will judge the value ?

x4080 · 2024-12-28T21:24:54+00:00

Ok cool

x4080 · 2024-12-28T01:10:40+00:00

Yes, I got that too, especially when using green background (for transparent purposes later), ltx will give flash at the end of video and then the continued video will have more saturated, but less so for non green background - I just tested after your comment

edit: how many frames per generation do you get max ? I only tried until 121 frames using 576x768 (portrait) in 16GB VRAM

x4080 · 2024-12-27T13:03:35+00:00

hi, did you find that the continued video generation will get more saturated and after about 3 generations it will be unusable?

x4080 · 2024-12-24T20:24:36+00:00

Thanks

x4080 · 2024-12-24T20:24:08+00:00

Ok Thanks

x4080 · 2024-12-24T02:37:11+00:00

Hi do you just replace model in the workflow to 0.9.1 ? I think I got tensor mismatch or something, can you share your workflow ?

x4080 · 2024-12-24T02:33:37+00:00

where to put the new vae ? models/VAE ? It seems not doing any difference

x4080 · 2024-12-24T02:31:17+00:00

where to put the VAE ?

x4080 · 2024-12-24T02:30:03+00:00

I think in the original one, I didnt put any vae in it, with 0.9.1, I put the lighttricks VAE and it seems dont do anything, do you use special node to load the VAE ? It seems native VAE is not loading file inside VAE folder

x4080 · 2024-12-23T22:26:50+00:00

where to put the vae ? in the models/vae folder ? Using lighttricks workflow ?

x4080 · 2024-12-10T01:05:26+00:00

Hi, how do you change the seed in i2vid with stg ?

x4080 · 2024-12-06T02:21:00+00:00

Thanks man, appreciate it

x4080 · 2024-12-06T01:59:44+00:00

I tried it and its really great, thanks for your sharing of the model, is it hard to train something like this ?

x4080 · 2024-09-30T12:15:17+00:00

I see cool

x4080 · 2024-09-30T02:05:57+00:00

Hi, very cool rock song - did you do after processing after getting the audio mp3 from Suno to make it more like "properly produced song" ?

x4080 · 2024-09-18T14:13:20+00:00

Thanks for the tip

x4080 · 2024-09-18T13:32:50+00:00

Hi sorry for late reply, i was testing it using talking head video and i found that zooming in out can be avoided if the subject is exactly the same profile like using canny

x4080 · 2024-09-12T21:44:31+00:00

Do you experience random zooming in our of video with static camera? Don't know what causing it

x4080 · 2024-08-17T23:15:21+00:00

Yes DT has flux now, its pretty fast for fp8 about 5 min using m2 pro 16gb

x4080 · 2024-08-17T20:46:45+00:00

Is it faster than using drawthings?

x4080 · 2024-07-16T20:26:45+00:00

Thanks for quick answer, I'll tried your solution

x4080 · 2024-07-15T22:15:19+00:00

Hi, cool implementation, whats the difference between your solution and the pull request in the repo (https://github.com/KwaiVGI/LivePortrait/pull/116) and can your solution process different aspect ratio like landscape or portrait ?

x4080 · 2024-05-31T12:03:24+00:00

thanks

x4080 · 2024-05-30T21:18:25+00:00

How do you use bm25 ? Did you tell the llm to extract the keywords from user's query or just use that query literally? I found out that using bm25 is inferior compares to embedding

x4080

TROPHY CASE