Update README.md
Browse files
README.md
CHANGED
@@ -5,6 +5,13 @@ tags:
|
|
5 |
---
|
6 |
# AuraFlow v0.2
|
7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6380ebb8471a4550ff255c62/jMkLXPFVNGdUb7P4nNTqX.png)
|
9 |
|
10 |
|
@@ -30,7 +37,7 @@ from diffusers import AuraFlowPipeline
|
|
30 |
import torch
|
31 |
|
32 |
pipeline = AuraFlowPipeline.from_pretrained(
|
33 |
-
"
|
34 |
torch_dtype=torch.float16,
|
35 |
variant="fp16",
|
36 |
).to("cuda")
|
|
|
5 |
---
|
6 |
# AuraFlow v0.2
|
7 |
|
8 |
+
This is a copy of `fal/AuraFlow-v0.2` but with the transformer converted to float16 in order to save disk space,
|
9 |
+
allow faster loading, and download if using something without static storage, like Colab.
|
10 |
+
|
11 |
+
You may get black images, if so use madebyollin's fp16 fixed SDXL VAE, I don't seem to need it when using MPS
|
12 |
+
but I did have some issues on Colab.
|
13 |
+
|
14 |
+
|
15 |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6380ebb8471a4550ff255c62/jMkLXPFVNGdUb7P4nNTqX.png)
|
16 |
|
17 |
|
|
|
37 |
import torch
|
38 |
|
39 |
pipeline = AuraFlowPipeline.from_pretrained(
|
40 |
+
"Vargol/auraflow0.2-fp16-diffusers",
|
41 |
torch_dtype=torch.float16,
|
42 |
variant="fp16",
|
43 |
).to("cuda")
|