Instructions to use bugratest/vtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bugratest/vtest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bugratest/vtest", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Delete unet/diffusion_pytorch_model.safetensors
Browse files
unet/diffusion_pytorch_model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:8924e82b9cab81e8eadeddc78faee044e99e89ff46a3106e29f1d0c840920bc0
|
| 3 |
-
size 10270077736
|
|
|
|
|
|
|
|
|
|
|
|