How to use Keltezaa/CIM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Keltezaa/CIM") prompt = "cum in mouth" image = pipe(prompt).images[0]
Generated example for model Keltezaa/CIM.Prompt: cum in mouth
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