Instructions to use DAKARA555/back with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/back 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/Wan2.1-I2V-14B-480P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DAKARA555/back") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -21,6 +21,8 @@ license: apache-2.0
|
|
| 21 |
https://civitai.com/models/1506398/carry-and-lift-sex-wan-21-i2v
|
| 22 |
|
| 23 |
|
|
|
|
|
|
|
| 24 |
## Download model
|
| 25 |
|
| 26 |
Weights for this model are available in Safetensors format.
|
|
|
|
| 21 |
https://civitai.com/models/1506398/carry-and-lift-sex-wan-21-i2v
|
| 22 |
|
| 23 |
|
| 24 |
+
https://huggingface.co/DAKARA555/back/resolve/main/carry-merged-shura-000006.safetensors
|
| 25 |
+
|
| 26 |
## Download model
|
| 27 |
|
| 28 |
Weights for this model are available in Safetensors format.
|