dataautogpt3
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Proteus-RunDiffusion

StableDiffusionXLPipeline

Inference Endpoints

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dataautogpt3 commited on Mar 14

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@@ -40,7 +40,7 @@ key acheivement:
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 The thorough redesign and complete retraining of CLIP has resulted in an innovative phenomenon termed "style unlocking". This enhancement enables SDXL-based models to transcend stylistic constraints. For instance, applying it to a model previously confined to anime generation now permits the creation of high-fidelity photorealistic images, among other capabilities. applying this to a anime only model allows it to generate high fiedelity photorealism and so on.
-Additionally, the total overhaul of the latent representation has fully resolved CFG scaling issues. The model now efficiently manages CFG ranges from 3 to 50, eliminating total image failers typically represented above 10 cfg.
 ## Optimal Creative Settings
 CLIP Settings:

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 The thorough redesign and complete retraining of CLIP has resulted in an innovative phenomenon termed "style unlocking". This enhancement enables SDXL-based models to transcend stylistic constraints. For instance, applying it to a model previously confined to anime generation now permits the creation of high-fidelity photorealistic images, among other capabilities. applying this to a anime only model allows it to generate high fiedelity photorealism and so on.
+The comprehensive rework of the latent representation has successfully addressed CFG scaling issues, allowing the model to effectively handle CFG ranges from 3 to 50. This eliminates the occurrence of total image failures, which were common at CFG levels above 10, without the need for additional steps.
 ## Optimal Creative Settings
 CLIP Settings: