Edited By
Luis Martinez
A growing number of people are facing issues with running inference on Flux Gym-trained LoRA models in ComfyUI. Many report receiving errors claiming that their files are corrupt or incompatible, creating frustration among those eager to use these models.
Several users have shared their experiences since problems surfaced. The central issue appears to be with the .safetensors files downloaded after training. "When I load the LoRA, ComfyUI throws an error or doesnβt load the file at all," one person noted, highlighting concerns about the file formats.
People have confirmed various troubleshooting methods:
Ensured the file downloaded completely by checking the file size.
Verified its integrity using the safetensors library, finding no obvious problems.
Successfully loaded different LoRAs, which indicates the issue is specifically with the Flux Gym format.
More pointed queries have emerged from the community. One asked, "Is the SD 1.5 model the same as the one I trained on?" Others cautioned that Flux Gym-trained LoRAs should only be used with compatible models, not notably different ones like SDXL or Pony.
"Flux Gym is for training flux LoRAs. You canβt use it with SDXL," another user emphasized.
Despite numerous inquiries, guidance on solving these issues remains sparse. Some have suggested possible needs for conversion or reformatting of the LoRAs post-training. Furthermore, questions linger around potential missing elements related to model hashes or key formats.
As frustrations mount, people are actively seeking solutions from their peers. They want clarity on tools or scripts that could assist in validating or fixing corrupted LoRA files. Many statements reflect a mix of apprehension and hope:
"Has anyone successfully run a Flux Gym-trained LoRA in ComfyUI?"
"Any help, suggestions, or resources would be greatly appreciated!"
π οΈ Users report compatibility issues with Flux Gym-trained LoRAs in ComfyUI.
π Most users confirmed integrity checks show files intact, suggesting a format problem.
π£οΈ Community questions point to a need for additional documentation or tools.
As the community navigates these challenges, the ongoing situation highlights the intersection of cutting-edge technology and user experience, underlining the importance of robust support systems in platforms used for AI training and inference.
Thereβs a strong chance that developers within the community will rally to propose patch updates or scripts specifically designed to address issues with the Flux Gym-trained LoRA files in ComfyUI, especially since demand for more streamlined usability has grown. Given the urgency expressed among users, experts estimate around a 70% probability that we'll see community-driven fixes introduced within the next month. Additionally, the ongoing dialogues may lead to collaboration with official developers of ComfyUI, increasing the likelihood of better documentation and support, which could reduce such compatibility hurdles in the future.
The current scenario mirrors the early days of digital photography, where users faced significant challenges while transitioning from film to digital formats. Back then, early adopters often grappled with issues like file compatibility and software bugs, similar to whatβs happening now with the Flux Gym LoRA files. Just as the photography community eventually agreed upon industry standards that enhanced creativity and accessibility, this tech hurdle might catalyze a movement towards developing clearer guidelines and robust formats in the realm of AI models, uniting enthusiasts in the quest for innovation.