Instructions to use alppo/vae-conditioned-diffusion-model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alppo/vae-conditioned-diffusion-model_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alppo/vae-conditioned-diffusion-model_v2", 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 29
Browse files- .gitattributes +1 -0
- samples/0029.png +0 -0
- samples/0029_process.png +3 -0
- training_state.pt +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
.gitattributes
CHANGED
|
@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 36 |
samples/0000_process.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
samples/0009_process.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
samples/0019_process.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 36 |
samples/0000_process.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
samples/0009_process.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
samples/0019_process.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
samples/0029_process.png filter=lfs diff=lfs merge=lfs -text
|
samples/0029.png
ADDED
|
samples/0029_process.png
ADDED
|
Git LFS Details
|
training_state.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 943888490
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d08aa0d6be6ad901d865a777de148b0c1ef2f831d0e25574efa943703cfc959c
|
| 3 |
size 943888490
|
unet/diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 471794956
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e56fed562cba0359d22c6839ba7f88e84ff4fd3c6741d916e0d519d9985e7c52
|
| 3 |
size 471794956
|