import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("DoctorDiffusion/gozer-cat-218mb-lora-xl")
prompt = " "
image = pipe(prompt).images[0]Gozer Cat - 218MB LoRA - XL
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Model description
Gozer the Gozerian is a beautiful sweet lazy cat.
The 100 epochs 218MB XL version I followed AI_Characters's guide on LoRA settings but with my own cat regulation images.
Trigger words
You should use gzr cat to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('DoctorDiffusion/gozer-cat-218mb-lora-xl', weight_name='DD-gzr-cat-XL-v1.safetensors')
image = pipeline('`gzr cat`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for DoctorDiffusion/gozer-cat-218mb-lora-xl
Base model
stabilityai/stable-diffusion-xl-base-1.0