fix: (missing <br /> as typical for the markdown hypertext document ecology)
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README.md
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@@ -1,10 +1,10 @@
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---
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base_model:
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- stabilityai/stable-diffusion-xl-base-1.0
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pipeline_tag: text-to-image
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tags:
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- bad_idea
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---
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##### 1000 rip roaring steps of adamw8bit on a trajectory the likes of which have never been seen before:
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# SDXL_1.0_0.9_V-PREDICTION_SQCU_SNR
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@@ -55,7 +55,7 @@ implement a sigmoid-k loss weighting as in [understanding... elbo](https://arxiv
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we used k=5, as other weighting schemes reliably induce exploding gradients.
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the released model was trained on full bf16 precision so if your training runs are blowups rather than glowups,
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you have made some subtantial and serious configuration error, rather than discovered the stunning and surprising flaw with floating point precision.
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finally:<br />
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❀ you absolutely must train this model on the v prediction target!<br />
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∟ i will not explain this further! <br />
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∟ it is in [diffusers!](https://github.com/huggingface/diffusers/blob/v0.29.1/src/diffusers/schedulers/scheduling_ddpm.py#L525)<br />
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---
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+
base_model:
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- stabilityai/stable-diffusion-xl-base-1.0
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pipeline_tag: text-to-image
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+
tags:
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- bad_idea
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---
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##### 1000 rip roaring steps of adamw8bit on a trajectory the likes of which have never been seen before:
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# SDXL_1.0_0.9_V-PREDICTION_SQCU_SNR
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we used k=5, as other weighting schemes reliably induce exploding gradients.
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the released model was trained on full bf16 precision so if your training runs are blowups rather than glowups,
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you have made some subtantial and serious configuration error, rather than discovered the stunning and surprising flaw with floating point precision.
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<br />finally:<br />
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❀ you absolutely must train this model on the v prediction target!<br />
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∟ i will not explain this further! <br />
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∟ it is in [diffusers!](https://github.com/huggingface/diffusers/blob/v0.29.1/src/diffusers/schedulers/scheduling_ddpm.py#L525)<br />
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