Glowing Skull [LoRA 1.5+SDXL]
- Prompt
- female in a mythical forest, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- man in a mythical forest, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- female in a mythical fire, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- female in a mythical fire, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- female upper body in mythical water, water surface, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- female upper body in mythical water, water surface, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- female mythical dragon , upper body, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- female mythical dragon , upper body, masterpiece, perfect face, intricate details, horror theme, epoxy_skull
- Prompt
- female mythical monk, upper body, masterpiece, perfect face, intricate details, horror theme epoxy_skull
- Prompt
- female mythical monk, upper body, masterpiece, perfect face, intricate details, horror theme epoxy_skull
(CivitAI)
Model description
SDXL:
Trigger word: epoxy_skull
Sampling Method: DPM++ 2M SDE Karras
SD1.5:
Trigger word: epoxy_skull
Sampling Method: Euler and Euler a
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Trigger words
You should use epoxy_skull 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/glowing-skull-lora-1-5-sdxl', weight_name='epoxy_skull-sdxl.safetensors')
image = pipeline('female mythical monk, upper body, masterpiece, perfect face, intricate details, horror theme epoxy_skull ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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