Instructions to use xkronosx/AutoEncoder-ffhq-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-ffhq-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xkronosx/AutoEncoder-ffhq-256", 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 11 - step 1000
Browse files- checkpoint.tar +1 -1
- diffusion_pytorch_model.safetensors +1 -1
- samples/sample_44360.png +2 -2
- samples/sample_44460.png +2 -2
- samples/sample_44560.png +2 -2
- samples/sample_44660.png +2 -2
- samples/sample_44760.png +2 -2
checkpoint.tar
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4280522
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4129b0af7645d388924c76acd380ebd63193bbea3dbb074a655f0aa9ddd7ba09
|
| 3 |
size 4280522
|
diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2129596
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad159ef6e6a28e9a6ae33e9ced8677dc7f8768be154a770267678d37b8d4c480
|
| 3 |
size 2129596
|
samples/sample_44360.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
samples/sample_44460.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
samples/sample_44560.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
samples/sample_44660.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
samples/sample_44760.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|