import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("nDimensional/SciStyle_subset", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]
SciStyle
Images generated with SciStyle_v2
V1 Base Model: Stable Diffusion v1.5 Type: Fine-Tune Clip Skip: 1 Medium: MultiMedium (Anime, Painting, Digital Art, 3D Render, Comic Illustration) Caption Style: Natural Language + Booru style. Dataset Size: Subset, ~1k images
More races/species from various Sci-fi and Fantasy universes.
Started fine-tuning photo manipulation into the model for more abstract generations. This idea has since been abandoned and will be moved to its own dedicated photo manipulation model.
Science n' Dungeons Base Model: Stable Diffusion v1.5 Type: Fine-Tune Clip Skip: 1 Medium: MultiMedium Caption Style: Natural Language + Booru Style Dataset Size: ~4.5k images