README
For best outputs:
Sampler: Euler a.
Steps: 30, cfg 7, CLIP skip 2.
VAE: none required.
Pos prompt: nothing in particular, just what you want to see. Models listens well, usually not too big weights needed.
Neg prompt: "EasyNegative, badhandv4, 3 hands", being the embeddings "badhandv4" and "badhandv4" included in my example runs.
Checkpoint Trained.
![00000-880413194%20(2).webp](https://files.tungsten.run/uploads/7124/2c1775a4de68464cb966dc7802a2e0f7/00000-880413194%20(2).webp)
![00001-880413195%20(3).webp](https://files.tungsten.run/uploads/7124/6c2fe2281bf54549a1b1feccd2973b31/00001-880413195%20(3).webp)
![00000-880413194%20(1).webp](https://files.tungsten.run/uploads/7124/12395b486e564e3486cb37fff75ed2d1/00000-880413194%20(1).webp)
![00000-880413194.webp](https://files.tungsten.run/uploads/7124/c10dcacc8d1046028352f56ea5d9e431/00000-880413194.webp)
![00002-880413196%20(2).webp](https://files.tungsten.run/uploads/7124/ebac97d1058c42c2b5f9cf8c57d6b04f/00002-880413196%20(2).webp)
![00003-880413197%20(4).webp](https://files.tungsten.run/uploads/7124/170769522d5a419f8ac2e8eece596cbc/00003-880413197%20(4).webp)
![00003-880413197%20(2).webp](https://files.tungsten.run/uploads/7124/e389464acdf74e72b34355bebc7a5107/00003-880413197%20(2).webp)
![00003-880413197%20(1).webp](https://files.tungsten.run/uploads/7124/6f2cabf9e91d46a08e32265138dfed3b/00003-880413197%20(1).webp)
![00000-880413194%20(3).webp](https://files.tungsten.run/uploads/7124/9800cea5bbc745d5b3b05c22ff387f32/00000-880413194%20(3).webp)
![00002-880413196.webp](https://files.tungsten.run/uploads/7124/4dcaa9584e19404582959e02bb2ea71f/00002-880413196.webp)
![00001-880413195.webp](https://files.tungsten.run/uploads/7124/921d2a4a09c64f28a1320739835a3279/00001-880413195.webp)
![00002-3025003272.webp](https://files.tungsten.run/uploads/7124/d5980751c9af4385a628027e4845de88/00002-3025003272.webp)
![00003-880413197.webp](https://files.tungsten.run/uploads/7124/e83f27ff22fb4b448a0c8755a1443a63/00003-880413197.webp)
![00002-880413196%20(1).webp](https://files.tungsten.run/uploads/7124/28b3bf2eeb4f47f3b8aada65fa0926ed/00002-880413196%20(1).webp)
![00000-880413194%20(4).webp](https://files.tungsten.run/uploads/7124/aada46893c834fc187a14afb8f3d214d/00000-880413194%20(4).webp)
![00003-880413197%20(3).webp](https://files.tungsten.run/uploads/7124/f295803855c949728cf4a8af88bcd110/00003-880413197%20(3).webp)
![00001-880413195%20(2).webp](https://files.tungsten.run/uploads/7124/fd00090cf82a42efa2f55e45f7f8e670/00001-880413195%20(2).webp)
![00000-880413194%20(5).webp](https://files.tungsten.run/uploads/7124/294314db8f8e4147ae2144f57c9d036b/00000-880413194%20(5).webp)
![00000-880413194%20(6).webp](https://files.tungsten.run/uploads/7124/3e63fc361533418781bdb0a861615ed5/00000-880413194%20(6).webp)
![00002-880413196%20(3).webp](https://files.tungsten.run/uploads/7124/d8c385d9442c4a15a9f9810182f7b058/00002-880413196%20(3).webp)
For best outputs:
Sampler: Euler a.
Steps: 30, cfg 7, CLIP skip 2.
VAE: none required.
Pos prompt: nothing in particular, just what you want to see. Models listens well, usually not too big weights needed.
Neg prompt: "EasyNegative, badhandv4, 3 hands", being the embeddings "badhandv4" and "badhandv4" included in my example runs.
Checkpoint Trained.
![00000-880413194%20(2).webp](https://files.tungsten.run/uploads/7124/2c1775a4de68464cb966dc7802a2e0f7/00000-880413194%20(2).webp)
![00001-880413195%20(3).webp](https://files.tungsten.run/uploads/7124/6c2fe2281bf54549a1b1feccd2973b31/00001-880413195%20(3).webp)
![00000-880413194%20(1).webp](https://files.tungsten.run/uploads/7124/12395b486e564e3486cb37fff75ed2d1/00000-880413194%20(1).webp)
![00000-880413194.webp](https://files.tungsten.run/uploads/7124/c10dcacc8d1046028352f56ea5d9e431/00000-880413194.webp)
![00002-880413196%20(2).webp](https://files.tungsten.run/uploads/7124/ebac97d1058c42c2b5f9cf8c57d6b04f/00002-880413196%20(2).webp)
![00003-880413197%20(4).webp](https://files.tungsten.run/uploads/7124/170769522d5a419f8ac2e8eece596cbc/00003-880413197%20(4).webp)
![00003-880413197%20(2).webp](https://files.tungsten.run/uploads/7124/e389464acdf74e72b34355bebc7a5107/00003-880413197%20(2).webp)
![00003-880413197%20(1).webp](https://files.tungsten.run/uploads/7124/6f2cabf9e91d46a08e32265138dfed3b/00003-880413197%20(1).webp)
![00000-880413194%20(3).webp](https://files.tungsten.run/uploads/7124/9800cea5bbc745d5b3b05c22ff387f32/00000-880413194%20(3).webp)
![00002-880413196.webp](https://files.tungsten.run/uploads/7124/4dcaa9584e19404582959e02bb2ea71f/00002-880413196.webp)
![00001-880413195.webp](https://files.tungsten.run/uploads/7124/921d2a4a09c64f28a1320739835a3279/00001-880413195.webp)
![00002-3025003272.webp](https://files.tungsten.run/uploads/7124/d5980751c9af4385a628027e4845de88/00002-3025003272.webp)
![00003-880413197.webp](https://files.tungsten.run/uploads/7124/e83f27ff22fb4b448a0c8755a1443a63/00003-880413197.webp)
![00002-880413196%20(1).webp](https://files.tungsten.run/uploads/7124/28b3bf2eeb4f47f3b8aada65fa0926ed/00002-880413196%20(1).webp)
![00000-880413194%20(4).webp](https://files.tungsten.run/uploads/7124/aada46893c834fc187a14afb8f3d214d/00000-880413194%20(4).webp)
![00003-880413197%20(3).webp](https://files.tungsten.run/uploads/7124/f295803855c949728cf4a8af88bcd110/00003-880413197%20(3).webp)
![00001-880413195%20(2).webp](https://files.tungsten.run/uploads/7124/fd00090cf82a42efa2f55e45f7f8e670/00001-880413195%20(2).webp)
![00000-880413194%20(5).webp](https://files.tungsten.run/uploads/7124/294314db8f8e4147ae2144f57c9d036b/00000-880413194%20(5).webp)
![00000-880413194%20(6).webp](https://files.tungsten.run/uploads/7124/3e63fc361533418781bdb0a861615ed5/00000-880413194%20(6).webp)
![00002-880413196%20(3).webp](https://files.tungsten.run/uploads/7124/d8c385d9442c4a15a9f9810182f7b058/00002-880413196%20(3).webp)