import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("dfdsd/arashface", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("zz001/retrzz")
prompt = "990"
image = pipe(prompt).images[0]fds
- Prompt
- 990
- Negative Prompt
- klkl
- Prompt
- 11
- Negative Prompt
- 222
- Prompt
- -
Model description
Trigger words
You should use njkjkj to trigger the image generation.
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Model tree for zz001/retrzz
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
dfdsd/arashface