Instructions to use Deepdive404/ERNIE-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deepdive404/ERNIE-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deepdive404/ERNIE-Image", 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
- Draw Things
- DiffusionBee
File size: 383 Bytes
6f81f71 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_class_name": "ErnieImageTransformer2DModel",
"_diffusers_version": "0.36.0",
"eps": 1e-06,
"ffn_hidden_size": 12288,
"hidden_size": 4096,
"in_channels": 128,
"num_attention_heads": 32,
"num_layers": 36,
"out_channels": 128,
"patch_size": 1,
"qk_layernorm": true,
"rope_axes_dim": [
32,
48,
48
],
"rope_theta": 256,
"text_in_dim": 3072
}
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