Instructions to use EthanYang0213/AOI-Line with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EthanYang0213/AOI-Line with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EthanYang0213/AOI-Line", 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
Epoch 179
Browse files- samples/.ipynb_checkpoints/0139-checkpoint.png +0 -0
- samples/0159.png +0 -0
- samples/0169.png +0 -0
- samples/0179.png +0 -0
- unet/diffusion_pytorch_model.safetensors +1 -1
samples/.ipynb_checkpoints/0139-checkpoint.png
ADDED
|
samples/0159.png
CHANGED
|
|
samples/0169.png
CHANGED
|
|
samples/0179.png
CHANGED
|
|
unet/diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 454741108
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c58429ea7596908aeeb2616e7e0d83eb3a6591830a2bcff407f14c6cd35801b6
|
| 3 |
size 454741108
|