import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("valhalla/t2i-style", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]t2iadapter-valhalla/t2i-style
These are t2iadapter weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
You can find some example images below.
prompt: a picture of a cat, 4k photo, highly detailed
prompt: a jungle, 4k photo, highly detailed
prompt: a truck, 4k photo, highly detailed
prompt: a digital painting of a lion, highly detailed
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Model tree for valhalla/t2i-style
Base model
stabilityai/stable-diffusion-xl-base-1.0