Update README.md


A fully revamped checkpoint based on the 512dim Lora
and chilloutmix_NiPrunedFp32Fix + deliberate_v2.


Training data: 512 DIM LORA
https://civitai.com/models/41893/lora-eggeaster-fusion

Here is how it looks using the lora on top of models:





lora weights: TEnc Weight 0.2 UNet Weight 1

Merged the 512dim lora to chillout and deliberate / --ratios 0.99 toward my fusion lora


C is CHillout / d is deliberate


Merged C and D with:


Base_alpha=0.53
Weight_values=0,0.157576195987654,0.28491512345679,0.384765625,0.459876543209877,0.512996720679012,0.546875,0.564260223765432,0.567901234567901,0.560546875,0.544945987654321,0.523847415123457,0.5,0.476152584876543,0.455054012345679,0.439453125,0.432098765432099,0.435739776234568,0.453125,0.487003279320987,0.540123456790124,0.615234375,0.71508487654321,0.842423804012347,1

and
1,0.842423804012346,0.71508487654321,0.615234375,0.540123456790123,0.487003279320988,0.453125,0.435739776234568,0.432098765432099,0.439453125,0.455054012345679,0.476152584876543,0.5,0.523847415123457,0.544945987654321,0.560546875,0.567901234567901,0.564260223765432,0.546875,0.512996720679013,0.459876543209876,0.384765625,0.28491512345679,0.157576195987653,0

both results merged

Weight_values=
1,0.842423804012346,0.71508487654321,0.615234375,0.540123456790123,0.487003279320988,0.453125,0.435739776234568,0.432098765432099,0.439453125,0.455054012345679,0.476152584876543,0.5,0.523847415123457,0.544945987654321,0.560546875,0.567901234567901,0.564260223765432,0.546875,0.512996720679013,0.459876543209876,0.384765625,0.28491512345679,0.157576195987653,0


And voila..
here is Egg_fusion checkpoint with the 512 dim-trained lora



Enjoy your eggs 🤟 🥃

README.md

@@ -1,3 +1,8 @@
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 license: other
+library_name: diffusers
+pipeline_tag: text-to-image
+tags:
+- art
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+https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).