import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("GenerativeApex/apexbadges-v1", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]apexbadges-v1 Dreambooth model trained by GenerativeApex with TheLastBen's fast-DreamBooth notebook
Key Phrase: apexbadge
Examples in: concept_images
Trained on Ranked League Badges from season 2 to 14, the set doesn't include Ranked Areas Badges.
Tranning info: 6000 steps 10% text encoder
Test the concept via A1111 Colab fast-Colab-A1111
Or you can run your new concept via diffusers Colab Notebook for Inference
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