Instructions to use try1ereer/WANCum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use try1ereer/WANCum with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TestOrganizationPleaseIgnore/WAMU-Merge-VisualEffects_WAN2.2_I2V_LIGHTNING", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("try1ereer/WANCum") prompt = "a woman is kneeling in front of a man, she has her mouth open, his penis is partially in her mouth, he is stroking his penis back and forth with her hand, cum pulses out of the penis and onto her tongue, cum pools inside her mouth, the cum comes out in thin spurts, three-quarter shot, ultra close-up" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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