Text-to-3D
Diffusers
Safetensors
English
StableDiffusionLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
Eval Results (legacy)
Instructions to use Intel/ldm3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/ldm3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/ldm3d", 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
Upload config.json
Browse files- vae/config.json +3 -3
vae/config.json
CHANGED
|
@@ -14,11 +14,11 @@
|
|
| 14 |
"DownEncoderBlock2D",
|
| 15 |
"DownEncoderBlock2D"
|
| 16 |
],
|
| 17 |
-
"in_channels":
|
| 18 |
"latent_channels": 4,
|
| 19 |
"layers_per_block": 2,
|
| 20 |
-
"out_channels":
|
| 21 |
-
"sample_size":
|
| 22 |
"scaling_factor": 0.18215,
|
| 23 |
"up_block_types": [
|
| 24 |
"UpDecoderBlock2D",
|
|
|
|
| 14 |
"DownEncoderBlock2D",
|
| 15 |
"DownEncoderBlock2D"
|
| 16 |
],
|
| 17 |
+
"in_channels": 6,
|
| 18 |
"latent_channels": 4,
|
| 19 |
"layers_per_block": 2,
|
| 20 |
+
"out_channels": 6,
|
| 21 |
+
"sample_size": 256,
|
| 22 |
"scaling_factor": 0.18215,
|
| 23 |
"up_block_types": [
|
| 24 |
"UpDecoderBlock2D",
|