Norod78/ClaymationChristmas-blip-captions-1024
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How to use Norod78/ClaymationX_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Norod78/ClaymationX_LoRA")
prompt = "in the style of ClaymationX"
image = pipe(prompt).images[0]These are Norod78/ClaymationX_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
You should use in the style of ClaymationX as the suffix to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
stabilityai/stable-diffusion-xl-base-1.0