Instructions to use lilpotat/a3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lilpotat/a3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lilpotat/a3", 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
- Local Apps
- Draw Things
- DiffusionBee
full ckpt
Browse files- a3.ckpt → a3-fp32.ckpt +0 -0
- a3-full.ckpt +3 -0
a3.ckpt → a3-fp32.ckpt
RENAMED
|
File without changes
|
a3-full.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8712e20a5d65b6acaa743e8a74961eadfdf846a2c9a32160d80a80cba13ad475
|
| 3 |
+
size 7703657858
|