import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Mahmoud9/Fast")
prompt = "Dos"
image = pipe(prompt).images[0]Go xcoin
- Prompt
- Dos
- Negative Prompt
- HZ
Model description
https://cdn-uploads.huggingface.co/production/uploads/65707be2642d7f0ac42f9abe/utn0DPrXtb6z7irxgS5JP.mp4
Trigger words
You should use Md to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for Mahmoud9/Fast
Base model
stabilityai/stable-diffusion-xl-base-1.0 Adapter
latent-consistency/lcm-lora-sdxl