import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("John6666/prefect-illustrious-xl-v15-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/BlackWhiplash")
prompt = "1girl, solo, bakugou mitsuki, purple shirt, ribbed sweater, blonde hair, mature female, portrait, looking at viewer, simple background, presenting, depth of field, "
image = pipe(prompt).images[0]blaash
- Prompt
- 1girl, solo, bakugou mitsuki, purple shirt, ribbed sweater, blonde hair, mature female, portrait, looking at viewer, simple background, presenting, depth of field,
- Negative Prompt
- lowres, worst quality, low quality, bad anatomy, bad hands, multiple views, 4koma, censored, jpeg artifacts
Trigger words
You should use blaash to trigger the image generation.
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Model tree for Shero448/BlackWhiplash
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/prefect-illustrious-xl-v15-sdxl