Instructions to use profpeng/wanhjbj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wanhjbj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/wanhjbj") prompt = "A sexy woman is giving a man a blowjob and a handjob. The man is out of frame. She is in front of the man. She is giving him a blowjob, while simultaneously giving a handjob. She is performing fellatio while stroking the shaft of his penis with one hand." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 3 files
Browse files
WAN-2.2-I2V-HandjobBlowjobCombo-HIGH-v1.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0794f26ab43a5bbb479ff21bd6ae1466ff4a3d6a0c21676ab34b832b82b875e0
|
| 3 |
+
size 613516752
|
WAN-2.2-I2V-HandjobBlowjobCombo-LOW-v1.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4371ed72fe9804257e69b56a37217bdab641b76a64208b07a75f5d716a25985d
|
| 3 |
+
size 613516752
|
images/images.jpeg
ADDED
|
Git LFS Details
|