Text-to-Video
Diffusers
Safetensors
English
efficient
mobile video generation
dit
pyramidal diffusion
Instructions to use karnewar/Neodragon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karnewar/Neodragon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("karnewar/Neodragon", 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: 657 Bytes
b7b8a47 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"_class_name": "PyramidDiffusionMMDiT",
"_diffusers_version": "0.34.0.dev0",
"add_temp_pos_embed": true,
"attention_head_dim": 64,
"caption_projection_dim": 1536,
"gradient_checkpointing_ratio": 0.6,
"in_channels": 16,
"interp_condition_pos": true,
"joint_attention_dim": 4096,
"max_num_frames": 200,
"num_attention_heads": 24,
"num_layers": 18,
"patch_size": 2,
"pooled_projection_dim": 2048,
"pos_embed_max_size": 192,
"pos_embed_type": "sincos",
"qk_norm": "rms_norm",
"sample_size": 128,
"temp_pos_embed_type": "rope",
"use_gradient_checkpointing": false,
"use_t5_mask": true,
"use_temporal_causal": true
}
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