import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yntec/Citrus", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Citrus
A mix from the best of CitrineDreamMix and CetusRemix, with the Splash LoRA and 70% of Add_Detail baked in.
Comparison:
Sample and prompt:
pretty Tiny mischievous CUTE girl wearing a puffy teal jacket, DETAILED EYES, greatly drawn face, Magazine Ad, playing, lush market overgrown city, smooth, intricate, elegant, digital painting, artstation, concept art, sharp focus, illustration, art by sam spratt and ROSSDRAWS, valorant character
Original pages:
https://civitai.com/models/18116?modelVersionId=21839 (CitrineDreamMix)
https://huggingface.co/Yntec/CetusRemix
https://civitai.com/models/58390 (add_detail)
For trigger words you can use, check the original page at: https://civitai.com/models/81619?modelVersionId=86612 (Splash 1.0)
CitrusDreamMix
A version without Add_Detail, for alternate eyes and backgrounds.
Recipe
- SuperMerger Weight sum TrainDifference MBW 0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1
Model A: CetusRemix
Model B: CitrineDreamMix
Output: CetusDreamMix
- Merge LoRA to checkpoint 1.0
Model A: CetusDreamMix
LoRA: Splash 1.0
Output: CitrusDreamMix
- Merge LoRA to checkpoint 0.7
Model A: CitrusDreamMix
LoRA: Add_Detail
Output: Citrus
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