pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("test7431/AAAAAAAAA", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("test7431/test")
prompt = "-"
image = pipe(prompt).images[0]test
- Prompt
- -
Model description
bdfgghfvh
Trigger words
You should use jkfdgvbkliyutfdrxkliuserf to trigger the image generation.
Download model
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Model tree for test7431/test
Base model
test7431/AAAAAAAAA
# Gated model: Login with a HF token with gated access permission hf auth login