Swarm stopped showing me how the image is made up
Swarm stopped showing me how the image is made up
AWhat happened? yesterday it was good I didn't change anything
Mweird, i watched this video but i dont recall imporing json configs, lemme check it again
Mbtw i got this error, and the loss is becoming a NaN, would this affect the training?
Fyes Nan means not working
F
Fconfig load
Fno idea
Fmake sure to load dreambooth configs into dreambooth lora into lora tab
ABtw what's TeaCache?
Fincreases speed
AIt says Install button bellow Preferred D type
Fi am testing today
Ashould I implement? I'm on kaggle
M... i generated a 10k steps lora this morning like this, no wonder it screwed up 
Mhow can i fix this error?
Fi would say get a fresh config into lora tab
Falso verify your images
Fany values is fine except nan
Fin loss rate
Vthx! what is fasted config json for a 48gb GPU? Just do fastest fine tune to test if the training image set is good. or does this not make sense as it will create very different results compared to a maximum quality fine tune?
Did I understand right, I can only choose between batch 1 and batch 7 config?
Did I understand right, I can only choose between batch 1 and batch 7 config?
Fbatch size 7 at 1 gpu is fastest config we have atm
Fit slightly reduces quality
Fcompared to batch size 1
Vso fastest would be batch 7 and do reduced size of epoch?
In patreon was written:
Fine Tuning / DreamBooth: 256 Training Images & Batch Size is 7 : Best Epoch is 40 = 256 x 40 / 7 = 1480 steps : Duration is 11 hours 56 minutes = around 4 USD cost
similiar like this?
In patreon was written:
Fine Tuning / DreamBooth: 256 Training Images & Batch Size is 7 : Best Epoch is 40 = 256 x 40 / 7 = 1480 steps : Duration is 11 hours 56 minutes = around 4 USD cost
similiar like this?
Fmy computer using up to 1250 watt checking from watt meter :d
FReddit
Explore this post and more from the SECourses community
Fby the way hunyuan-video-t2v-720p-BF16.gguf is significantly better than fast models
F
A
GitHub
Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS ...
NWhy are there streaks when generating on flux?
or is that from the upscaler? How do you fix it?
or is that from the upscaler? How do you fix it?
Jare you using a Lora?
Ttoo high generated image resolution probably, what's the dimensions?
Tyou start getting them on ~1.7MP with flux dev fp16, with >2MP high probability of this artifacts
MHello Dr. Furkan, I tired literally everything, reinstalled everything, made a whole new pod, tried mimicpc instead of runpod, same thing
CDo you know why using a LoRA can cause this drop in quality? Generated with ComfyUI.
Apoor dataset quality
CNah it’s something else, fine tuning on this dataset does not produce such artefacts.
Tchatgpt made me this graph from your raw testing data
Ksame
Kno CLIP/text encoder weights in checkpoint, the text encoder model will not be loaded.
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
clip missing: ['text_projection.weight']
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
clip missing: ['text_projection.weight']
KEven though my Clip files are installed, I'm getting a 'clip missing' error. Has anyone experienced this before, or do you know the solution?
Agot an answer on swarm server.
Go on the left side of swarm on the search bar "Filter parameters" and search for the keyword preview. There's a tik option on the Swarm Internal tab that reads "No previews" make sure to uncheck it
Go on the left side of swarm on the search bar "Filter parameters" and search for the keyword preview. There's a tik option on the Swarm Internal tab that reads "No previews" make sure to uncheck it
Tsounds amazing, much better than F5-TTS
Acheck your DMS pls
Ayeah but poor language support
TF5-TTS had only 2 languages, zonos have 5
AF5 could be finetuned tho
Mwhats the optimal amount of steps to have for flux lora training? i have 175 images and 180 reg images
Mbtw training is very slow, i am on 48 vram, how can i make it faster?
