How to use Rand000mGuy/expressions with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/expressions") prompt = "-" image = pipe(prompt).images[0]
tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - output: url: images/450x_auto__so (1).webp text: '-' base_model: Lakonik/AsymFLUX.2-klein-9B instance_prompt: null
Download them in the Files & versions tab.
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