import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/QWEN_IMAGE_fp4_w_AbliteratedTE_Diffusers", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Cunt1257/pussymagnet")
prompt = "-"
image = pipe(prompt).images[0]pussymagnet
- Prompt
- -
Model description
flask>=3.0.0 requests>=2.31.0 scapy>=2.5.0 python-nmap>=0.7.1 paramiko>=3.4.0 beautifulsoup4>=4.12.0 colorama>=0.4.6 rich>=13.7.0 cryptography>=41.0.0 python-dotenv>=1.0.0 llama-cpp-python flask-cors
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