import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Hemanth-thunder/stable_diffusion_lora", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("turx2/beg33y5rjd")
prompt = "-"
image = pipe(prompt).images[0]eg3g3hd
- Prompt
- -
Model description
gerg
Trigger words
You should use cgracex5 to trigger the image generation.
You should use cgracex2 to trigger the image generation.
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 turx2/beg33y5rjd
Base model
SG161222/Realistic_Vision_V1.4 Finetuned
Hemanth-thunder/stable_diffusion_lora