Instructions to use B4100/dldct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/dldct with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/dldct") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("B4100/dldct")
prompt = "-"
image = pipe(prompt).images[0]dldct
.png)
- Prompt
- -
Model description
d1ld0 the video begins with a portrait shot of the woman. the scene then immediately cut transitions to a low-angle close-up of the same woman in the same location, her vagina being aggressively penetrated by a thick realistic dildo. The dildo thrusts hard and deep into her tight wet pussy, stretching her lips around its girth with visible glistening juices. Intense, rhythmic pounding motion, detailed insertion, and explicit penetration from a dramatic low angle.
Trigger words
You should use d1ld0 to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 130