Instructions to use xkronosx/AutoEncoder-cifar10-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-cifar10-64 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-cifar10-64", 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 3 - step 0
Browse files- checkpoint.tar +1 -1
- diffusion_pytorch_model.safetensors +1 -1
- samples/sample_31260.png +0 -0
checkpoint.tar
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 882172
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2917be654dadf00cd113e8d63205160c740a082bfa5995925ac270dbfa6af696
|
| 3 |
size 882172
|
diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 432580
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b544fca76cf9f24aaa874052f8735c119e09a659d1086f7f5626b6cdee3b34d6
|
| 3 |
size 432580
|
samples/sample_31260.png
CHANGED
|
|