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README.md
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Training took around 3 hours using an RTX 4090 with 24GB VRAM, training times are on par with Flux LoRA training. Captioning was done using Joy Caption Batch with modified instructions and a token limit of 128 tokens (more than that gets truncated during training).
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I trained the model with Full and ran inference in ComfyUI using the Dev model, it is said that this is the best strategy to get high quality outputs.
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Testing and training takes a lot of time and personal resources. If you can afford it please contribute to my KoFi (https://ko-fi.com/renderartist) – Contributing will allow me more flexibility to train in the cloud and continue experimenting and sharing.
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renderartist.com
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Training took around 3 hours using an RTX 4090 with 24GB VRAM, training times are on par with Flux LoRA training. Captioning was done using Joy Caption Batch with modified instructions and a token limit of 128 tokens (more than that gets truncated during training).
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I trained the model with Full and ran inference in ComfyUI using the Dev model, it is said that this is the best strategy to get high quality outputs. Workflow is attached to first image in the gallery, just drag and drop into ComfyUI.
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Testing and training takes a lot of time and personal resources. If you can afford it please contribute to my KoFi (https://ko-fi.com/renderartist) – Contributing will allow me more flexibility to train in the cloud and continue experimenting and sharing.
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renderartist.com
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