Instructions to use DJMOON/cc_diffusion_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DJMOON/cc_diffusion_01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DJMOON/cc_diffusion_01", 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 20
Browse files
logs/train_example/events.out.tfevents.1713248668.DESKTOP-PDH94BV.33924.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00a9dcfdcfff7fbe2f67592efc2cbc3d148f15eb8648ca354aed2bf88abe6719
|
| 3 |
+
size 885142
|
samples/0020.png
ADDED
|
unet/diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 454747412
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27e8b124a314a21a5af9e8f642263d3b9a39d65b92eb5eaa5ba7a44275766a5f
|
| 3 |
size 454747412
|