Instructions to use OzzyGT/idol_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/idol_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/idol_diffusers", 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
File size: 361 Bytes
3f28e7f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_class_name": "IdolTransformerModel",
"_diffusers_version": "0.42.0.dev0",
"attention_head_dim": 64,
"camera_channels": 5,
"hidden_size": 1024,
"image_embed_dim": 1280,
"image_vae_embed_dim": 128,
"in_channels": 16,
"mlp_ratio": 4.0,
"num_attention_heads": 16,
"num_latent_tokens": 8192,
"num_layers": 24,
"num_refiner_layers": 2
}
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