import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lykon/AnyLoRA", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("scrapware/amanivae")
prompt = " amanivae "
image = pipe(prompt).images[0]amanivae
- Prompt
- amanivae
- Negative Prompt
- amqnivae.pt (Bluewish)
- Prompt
- amenivae
- Negative Prompt
- amenivae (Neutral Colored)
- Prompt
- animevae
- Negative Prompt
- Sample of animevae.pt original.
Model description
Neutral colored animevae only animevae(100%) on feat latest floating tensor genetic shift technology. half size pruned to only state_dict(rest keep loss_logver).
Amanivae: bluewish</ br> Amenivae: Neutral Colored
(!) Adjust with some rate(0.1-0.9) from animevae.pt original.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for scrapware/amanivae
Base model
Lykon/AnyLoRA