Update README.md

README.md

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 Shifted base H3, a capable model that still has base model capability and functions. Betas are all testing integrations and bases and are just samples ahead of inegrating sulphur h3 which will be the main data backbone and v1.0.
 
-beta_6 is a built mostly-reference hybrid with a custom turbo meant to mimic how Fastv2 looks and sounds. Samples on 10/3 shift, fully dense or with Fastv2 VSA sparse node settings on multiple samplers like er_sde, euler, LCM, res_multistep, all having some different behaviors with prompt. It's a slow 8-12 step reference model in that configuration. 4step turbo loras can be run on top of it to reduce that. SLA sparsity seems to destroy it, avoid using that on any workflows. It's ideal configuration is with full gates and Fastv2 turbo and VSA gates when they have a reference solution figured out. The attempt to do that is the unstable version which has multiple issues but looks and sounds perfect at 8 steps.
+WORKFLOW:
+https://huggingface.co/LokkenJP/TenEros_Max_optimized_learned/tree/main/SampleWorkFlowTwoPassOptimized
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+beta_7 is a more correct format for average usability and combination of all working strategies so far. The merge is combination of the best lora data avaliable, premerged and then converted into MLP-only versions that were merged with magnitude cap, leaving full base model attention and reference intact. Gate-side data only allows for full base model behavior with extra data only needed to be reach with correct prompts. The base is an fl2va model with the Fast Omni timestep, then refolded, allowing full hybridization and not the fake half-model kind of hybrid without a timestep. Does all modes with one key drawback being the need for VSA and 90% sparsity and some undiagnosed issues from the Omni structure; it is prone to 'flickering' in the background and on the latent in workflows with single pass and without refined sampling setups like 2-pass sampling. The 3D spatial upscale pass smooths the latent and removes it. The 8 step turbo covers 6-12 steps and is devoid of most turbo quality reductions aside from some more jagged noise, a tradeoff for letting v-band stay fully base to avoid contrast gains from turbo and preserve input quality, sampling on most normal setups, but for optimal quality Euler/Simple or Er_sde/SGM_uniform are reliable. 
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+beta_6 is a rough test of a different merge strategy, built mostly-reference hybrid with a custom turbo meant to mimic how Fastv2 looks and sounds. Samples on 10/3 shift, fully dense or with Fastv2 VSA sparse node settings on multiple samplers like er_sde, euler, LCM, res_multistep, all having some different behaviors with prompt. It's a slow 8-12 step reference model in that configuration. 4step turbo loras can be run on top of it to reduce that. SLA sparsity seems to destroy it, avoid using that on any workflows. It's ideal configuration is with full gates and Fastv2 turbo and VSA gates when they have a reference solution figured out. The attempt to do that is the unstable version which has multiple issues but looks and sounds perfect at 8 steps.
 
 ![beta6 vsa sampling](beta6_sampling_example.png)