Instructions to use dylanebert/mvdream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dylanebert/mvdream with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dylanebert/mvdream", 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
Update unet/config.json
Browse files- unet/config.json +1 -2
unet/config.json
CHANGED
|
@@ -20,6 +20,5 @@
|
|
| 20 |
"num_head_channels": 64,
|
| 21 |
"num_res_blocks": 2,
|
| 22 |
"out_channels": 4,
|
| 23 |
-
"transformer_depth": 1
|
| 24 |
-
"use_checkpoint": false
|
| 25 |
}
|
|
|
|
| 20 |
"num_head_channels": 64,
|
| 21 |
"num_res_blocks": 2,
|
| 22 |
"out_channels": 4,
|
| 23 |
+
"transformer_depth": 1
|
|
|
|
| 24 |
}
|