import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Hippotes/Krea-2-Experiments", torch_dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Experiments with Krea 2 :)
pre-release Turbo model produce the exact same outputs as the officially released but with a little something hidden inside to be found
Refiner Neutering: cancel the actions of the txtfusion.refiner_blocks from the model. From my limited testing it has a similar effet to using a txtfusion.projector bypass lora or the Conditioning Multiply node but without the color saturation or overcooked textures. Load the patch as a lora, always use at strength 1.
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