Instructions to use profpeng/spooning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/spooning 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("profpeng/spooning") prompt = "The scene changes to show a woman having sex with a man. spn_lie_diagonally_behind_vagina" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 3 files
Browse files
images/IMG_112353_0.PNG
ADDED
|
|
Git LFS Details
|
mql_casting_sex_spoon_wan22_i2v_v1_high_noise.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aafab4fba977c6d86a9bef5c303d3c195b58df0bbe8d495ef945d10301836679
|
| 3 |
+
size 306808408
|
mql_casting_sex_spoon_wan22_i2v_v1_low_noise.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2d200074dc3162163e984abf72363b0ba9cffc815a8464f401b24c54f822481
|
| 3 |
+
size 306808408
|