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README.md
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library_name: diffusers
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pipeline_tag: text-to-image
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Sun and Moon are hereby deemed burned. My next target is to run the train entirely without David.
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This was a high-risk possibility and I gambled. The results were most likely the deterministic results and yet I still ran them. Now the post-moretem.
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library_name: diffusers
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pipeline_tag: text-to-image
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# The plan for restoration
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The timestep bias hurt the model yes, but it still inferences using the flow-pattern matching when utilizing the teacher's timesteps and DDIM.
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This tells me that the training DID impact it in a way that regularized it, and the system isn't dead yet.
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There was as model I once did many trains on - a flux variant named Flux 1D 2 - which was essentially a primed variation of Flux 1D spoken to have increased Lora fidelity.
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Well, overall it didn't really provide any additional context finetuning capability overall - however, it did look a lot like how this model looks when inferenced.
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I get the distinct feeling, if I train this model - it will respond directly to dreambooth and relearn those broken early timestep zones with teacher/student regularization.
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It's a bit of a long shot, but it's already pattern recognizing by training, so it's very possible that it could at least show some promise.
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I believe it's worth a shot. This model is Sol, and I don't know if it can be salvaged. Lune however showed much more response to DDIM so I'm going to attempt that version first.
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I refuse to yield just yet, not while I still have ideas and tools to work with.
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# This model is burned, but not dead.
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Sun and Moon are hereby deemed burned. My next target is to run the train entirely without David.
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This was a high-risk possibility and I gambled. The results were most likely the deterministic results and yet I still ran them. Now the post-moretem.
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