Instructions to use silveroxides/SD3-PonyCLIP-forfun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use silveroxides/SD3-PonyCLIP-forfun with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("silveroxides/SD3-PonyCLIP-forfun", 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 Settings
- Draw Things
- DiffusionBee
Delete config.json
Browse files- config.json +0 -15
config.json
DELETED
|
@@ -1,15 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_class_name": "SD3Transformer2DModel",
|
| 3 |
-
"_diffusers_version": "0.29.0.dev0",
|
| 4 |
-
"attention_head_dim": 64,
|
| 5 |
-
"caption_projection_dim": 1536,
|
| 6 |
-
"in_channels": 16,
|
| 7 |
-
"joint_attention_dim": 4096,
|
| 8 |
-
"num_attention_heads": 24,
|
| 9 |
-
"num_layers": 24,
|
| 10 |
-
"out_channels": 16,
|
| 11 |
-
"patch_size": 2,
|
| 12 |
-
"pooled_projection_dim": 2048,
|
| 13 |
-
"pos_embed_max_size": 192,
|
| 14 |
-
"sample_size": 128
|
| 15 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|