Wood Figure Style [SDXL LoRA]
- Prompt
- woodfigurez, chessboard, amazing looking wooden dragon, (painted with varnish colors:1.2), artistic style
- Prompt
- woodfigurez, chessboard, amazing looking wooden dragon, (painted with varnish colors:1.2), artistic style
- Prompt
- woodfigurez, made out of wood,snail riding a motorcycle, super fast, dust behind motorcycle, on route 66
- Prompt
- woodfigurez, made out of wood,snail riding a motorcycle, super fast, dust behind motorcycle, on route 66
- Prompt
- woodfigurez, wooden figure, tree in sandpit, tree, colorful playground background with children, backroom light
- Prompt
- woodfigurez, wooden figure, tree in sandpit, tree, colorful playground background with children, backroom light
- Prompt
- woodfigurez, made out of wood, aged angela merkel made out of wood, bust, front view, standing the german reichstag
- Prompt
- woodfigurez, made out of wood, donald trump made out of wood, bust, standing in the capitol building
- Prompt
- woodfigurez, chessboard, amazing looking wooden queen in focus, upper body, artistic style
- Prompt
- woodfigurez, chessboard, amazing looking wooden queen in focus, upper body, artistic style
(CivitAI)
Model description
SDXL:
Trigger word: woodfigurez
Sampling Method: DPM++ 2M SDE Karras
☕ Buy me a coffee: https://ko-fi.com/ralfingerai
Trigger words
You should use woodfigurez 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('RalFinger/wood-figure-style-sdxl-lora', weight_name='woodfigurez-sdxl.safetensors')
image = pipeline('woodfigurez, chessboard, amazing looking wooden queen in focus, upper body, artistic style ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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