Instructions to use Luffuly/unique3d-mvimage-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luffuly/unique3d-mvimage-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Luffuly/unique3d-mvimage-diffuser", 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
rename n_view -> n_views
Browse files- unet/config.json +1 -1
unet/config.json
CHANGED
|
@@ -64,7 +64,7 @@
|
|
| 64 |
],
|
| 65 |
"upcast_attention": false,
|
| 66 |
"use_linear_projection": false,
|
| 67 |
-
"
|
| 68 |
"multiview_attn_position": "attn1",
|
| 69 |
"num_modalities": 1,
|
| 70 |
"latent_size": 64,
|
|
|
|
| 64 |
],
|
| 65 |
"upcast_attention": false,
|
| 66 |
"use_linear_projection": false,
|
| 67 |
+
"n_views": 4,
|
| 68 |
"multiview_attn_position": "attn1",
|
| 69 |
"num_modalities": 1,
|
| 70 |
"latent_size": 64,
|