Instructions to use ramu0e/diffusion-latent-action-model-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ramu0e/diffusion-latent-action-model-final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ramu0e/diffusion-latent-action-model-final", 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: 1,227 Bytes
7c2131c | 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 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | {
"architectures": [
"LAMModel"
],
"encoder_height": 224,
"encoder_width": 304,
"fsq_levels": [
7,
5,
5,
5,
5
],
"initializer_range": 0.02,
"is_diffusion": true,
"latent_channels": 5,
"max_tokens": 80,
"min_tokens": 1,
"model_type": "lam",
"null_latent": 0,
"num_tokens_in": 333,
"pool_pick_tokens": 80,
"torch_dtype": "float32",
"transformer_config": {
"_class_name": "SD3Transformer2DModel",
"_diffusers_version": "0.31.0.dev0",
"_name_or_path": "stabilityai/stable-diffusion-3.5-medium",
"attention_head_dim": 64,
"caption_projection_dim": 1536,
"dual_attention_layers": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12
],
"in_channels": 32,
"joint_attention_dim": 5,
"num_attention_heads": 24,
"num_layers": 24,
"out_channels": 16,
"patch_size": 2,
"pooled_projection_dim": 400,
"pos_embed_max_size": 384,
"qk_norm": "rms_norm",
"sample_size": 128
},
"transformers_version": "4.50.0",
"use_empty_prompt": true,
"use_tail_drop": true,
"videomae_from_pretrained": "OpenGVLab/VideoMAEv2-Large",
"vocab_size": 4375
}
|