Astroburner

PS: Goal was change food pictures (CGI, 3d, 2d, plastic and so on ....) to a realistic food

Update: after 3500 Steps noch change in the sampel images, stoped Runpod

> The datasets are completely fine. I previously trained the same model for Kontext, and it worked perfectly. Did the same thing with Qwen Image Edit, wortking perfectly. Lost already...

same here, tested all options. Hope there is a update on the way. Running 1 job { "type": "diffusion_trainer", "training_folder": "/app/ai-toolkit/output", "sqlite_db_path": "/app/ai-toolkit/aitk_db.db", "device": "cuda", "trigger_word": null, "performance_log_every": 10, "network":...

Update: Can it be that the sampler needs 3 images as input? and it has problems when i just give him 1? Maybe it helps to find the issue