Instructions to use p1atdev/pvc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use p1atdev/pvc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("p1atdev/pvc", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, high quality, 1girl, cat ears, silver, blue, frills, bow, looking at viewer, ultra detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload 4 files
Browse files- .gitattributes +1 -0
- samples/v2-eyecatch.png +3 -0
- samples/v2-sample1.png +0 -0
- samples/v2-sample2.png +0 -0
- samples/v2-sample3.png +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 35 |
samples/miku.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 35 |
samples/miku.png filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
samples/v2-eyecatch.png filter=lfs diff=lfs merge=lfs -text
|
samples/v2-eyecatch.png
ADDED
|
Git LFS Details
|
samples/v2-sample1.png
ADDED
|
samples/v2-sample2.png
ADDED
|
samples/v2-sample3.png
ADDED
|