Instructions to use Ching2602/blinkbj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/blinkbj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ching2602/blinkbj") prompt = "A woman looking at the camera. The video then jumpcuts to the same woman giving a blowjob to a man standing in the same location, looking up as she performs the blowjob on the man, she is kneeling in front of him, she is holding his penis with both hands. she looks at the camera the entire time. she shoves the penis deep in her mouth." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 680 Bytes
0abce10 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/IMG_112353_0.PNG
text: >-
A woman looking at the camera. The video then jumpcuts to the same woman
giving a blowjob to a man standing in the same location, looking up as she
performs the blowjob on the man, she is kneeling in front of him, she is
holding his penis with both hands. she looks at the camera the entire time.
she shoves the penis deep in her mouth.
base_model: Wan-AI/Wan2.2-I2V-A14B
instance_prompt: null
---
# blinkbj
<Gallery />
## Download model
[Download](/profpeng/blinkbj/tree/main) them in the Files & versions tab.
|