somie

Model trained with AI Toolkit by Ostris

Prompt

A playful photograph of a black dog dressed as a spooky vampire, complete with a tiny cape and playful fangs, sitting on a rocky outcrop under a full moon, surrounded by glowing jack-o'-lanterns and fluttering bats,festive atmosphere, whimsical details, vibrant colors, Halloween spirit, playful expression, enchanting nighttime setting, Somie_HK

Prompt

A vibrant photograph of a black dog wearing a colorful hiking harness, confidently perched on a rocky ledge, overlooking a breathtaking mountain vista filled with lush greenery and clear blue skies. adventurous spirit, nature vibes, dynamic pose, bright colors, outdoor exploration, joyful expression, scenic beauty, Somie_HK

Prompt

A stunning art painting of a black dog sitting majestically against a backdrop of soft, impressionistic landscapes, with gentle brush strokes highlighting the dog's shiny coat and expressive eyes, evoking a sense of warmth and companionship, artistic flair, rich textures, warm tones, emotional depth, timeless beauty, whimsical charm, evocative imagery, Somie_HK

Trigger words

You should use Somie_HK to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('chau9ho/somie', weight_name='somie.safetensors')
image = pipeline('A playful photograph of a black dog dressed as a spooky vampire, complete with a tiny cape and playful fangs, sitting on a rocky outcrop under a full moon, surrounded by glowing jack-o'-lanterns and fluttering bats,festive atmosphere, whimsical details, vibrant colors, Halloween spirit, playful expression, enchanting nighttime setting, Somie_HK').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers