metadata
license: mit
base_model:
- mikeyandfriends/PixelWave_FLUX.1-dev_03
library_name: diffusers
pip install sentencepiece
pip install tokenizer
pip install accelerate
pip install protobuf
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("ModelsLab/Pixelwave-Flux", torch_dtype=torch.bfloat16)
pipe.to("cuda")
prompt="close beutiful lady face"
# Depending on the variant being used, the pipeline call will slightly vary.
# Refer to the pipeline documentation for more details.
image = pipe(prompt, num_inference_steps=15, guidance_scale=4.5).images[0]
image.save("flux.png")
