Video-to-Video
Diffusers
Safetensors
g-buffer
neural-rendering
real-time
autoregressive
video-diffusion
supertuxkart
Instructions to use AlayaLab/AlayaRenderer-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlayaLab/AlayaRenderer-Flash with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlayaLab/AlayaRenderer-Flash", 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: 1,036 Bytes
5663441 | 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 | {
"_class_name": "HeliosTransformer3DModel",
"_diffusers_version": "0.39.0.dev0",
"added_kv_proj_dim": null,
"attention_head_dim": 128,
"cross_attn_norm": true,
"eps": 1e-06,
"ffn_dim": 8960,
"freq_dim": 256,
"gan_cond_map_dim": 768,
"gan_hooks": [
5,
15,
25,
35
],
"guidance_cross_attn": true,
"has_multi_term_memory_patch": true,
"history_scale_mode": "per_head",
"image_dim": null,
"in_channels": 96,
"is_amplify_history": false,
"is_rfs_gan": false,
"is_train_restrict_lora": false,
"is_use_gan": false,
"is_use_gan_final": false,
"is_use_gan_hooks": false,
"num_attention_heads": 12,
"num_layers": 30,
"out_channels": 16,
"patch_size": [
1,
2,
2
],
"qk_norm": "rms_norm_across_heads",
"restrict_lora": false,
"restrict_lora_rank": 128,
"restrict_self_attn": false,
"rope_dim": [
44,
42,
42
],
"rope_max_seq_len": 1024,
"rope_theta": 10000.0,
"text_dim": 4096,
"use_text_sink": true,
"zero_history_timestep": true
}
|