Instructions to use coversia21/RVC_Haroo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coversia21/RVC_Haroo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("h94/IP-Adapter-FaceID", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("coversia21/RVC_Haroo") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- haroo.zip +3 -0
- images/descarga (2).jpeg +3 -0
haroo.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8c514dbcfa644d953e5624c210eae2bbb6f78e714d611046e73784d0c5d48ae
|
| 3 |
+
size 145616294
|
images/descarga (2).jpeg
ADDED
|
Git LFS Details
|