Update README.md

README.md

@@ -4,7 +4,7 @@ license: apache-2.0
 
 # EclecticEuphoria_Flux_Unet_Schnell_models
 
-Not of a huge fan of Schnell on first use so I took up a challenge to remove what I didn't like of Schnell.  First goal was to remove the hideous Greenish|Yellowish look and the random dark splotches all over.  I used lora and thanks to the negative field was able to remove most of those issues and get a more natural looking image.  So I am calling this version a win.  The standard model produces much better images out of the gate vs the ggufs.  A refiner is definately needed in both cases, the ggufs are complete rubish looking straight out of the sampler, but it's a good thing as the noise gives the refiner something good to work with.  So find a favorite refiner model and plug it in for best results.  Images are created in 8 steps.  I only tested the 8_0K gguf a couple times, not sure how well the K6 and K4 models do.  I do like the artsy style of schnell tho, it can really produce some unique beatuiful pictres in a hurry.
+Not of a huge fan of Schnell on first use so I took up a challenge to remove what I didn't like of Schnell.  First goal was to remove the hideous Greenish blotchy look and the random dark splotches all over.  I used lora and thanks to the negative field was able to remove most of those issues and get a more natural looking image.  So I am calling this version a win.  The standard model produces much better images out of the gate vs the ggufs.  A refiner is definately needed in both cases, the ggufs are complete rubish looking straight out of the sampler, but it's a good thing as the noise gives the refiner something good to work with.  So find a favorite refiner model and plug it in for best results.  Images are created in 8 steps.  I only tested the 8_0K gguf a couple times, not sure how well the K6 and K4 models do.  I do like the artsy style of schnell tho, it can really produce some unique beatuiful pictres in a hurry.
 
 ## Standard Workflow