import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("codeShare/Klein9B-DarkBeast-SDNQ-4bit", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
👷 Note! The transformer part of this repo is work in progress! If you want to use darkbeast klein model 9b I suggest using base model with extracted lora in meantime , available at https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/tree/main/colab_notebooks
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