Upload folder using huggingface_hub
Browse files- README.md +33 -0
- config.yaml +62 -0
- wan2.1-14b-wan-laezel-lora.safetensors +3 -0
README.md
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
- zh
|
6 |
+
tags:
|
7 |
+
- video
|
8 |
+
- video-generation
|
9 |
+
- text-to-video
|
10 |
+
- lora
|
11 |
+
- replicate
|
12 |
+
base_model: "Wan-AI/Wan2.1-T2V-14B-Diffusers"
|
13 |
+
pipeline_tag: text-to-video
|
14 |
+
# widget:
|
15 |
+
# - text: >-
|
16 |
+
# prompt
|
17 |
+
# output:
|
18 |
+
# url: https://...
|
19 |
+
instance_prompt: LAEZEL
|
20 |
+
---
|
21 |
+
|
22 |
+
# Wan Laezel
|
23 |
+
|
24 |
+
<Gallery />
|
25 |
+
|
26 |
+
Trained on Replicate using:
|
27 |
+
|
28 |
+
https://replicate.com/ostris/wan-lora-trainer/train
|
29 |
+
|
30 |
+
|
31 |
+
## Trigger words
|
32 |
+
You should use `LAEZEL` to trigger the video generation.
|
33 |
+
|
config.yaml
ADDED
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
job: custom_job
|
2 |
+
config:
|
3 |
+
name: wan_train_replicate
|
4 |
+
process:
|
5 |
+
- type: custom_sd_trainer
|
6 |
+
training_folder: output
|
7 |
+
device: cuda:0
|
8 |
+
trigger_word: LAEZEL
|
9 |
+
network:
|
10 |
+
type: lora
|
11 |
+
linear: 32
|
12 |
+
linear_alpha: 32
|
13 |
+
save:
|
14 |
+
dtype: float16
|
15 |
+
save_every: 2001
|
16 |
+
max_step_saves_to_keep: 1
|
17 |
+
datasets:
|
18 |
+
- folder_path: input_images
|
19 |
+
caption_ext: txt
|
20 |
+
caption_dropout_rate: 0.05
|
21 |
+
shuffle_tokens: false
|
22 |
+
cache_latents_to_disk: false
|
23 |
+
cache_latents: true
|
24 |
+
resolution:
|
25 |
+
- 632
|
26 |
+
train:
|
27 |
+
batch_size: 1
|
28 |
+
steps: 2000
|
29 |
+
gradient_accumulation_steps: 1
|
30 |
+
train_unet: true
|
31 |
+
train_text_encoder: false
|
32 |
+
gradient_checkpointing: false
|
33 |
+
noise_scheduler: flowmatch
|
34 |
+
timestep_type: sigmoid
|
35 |
+
optimizer: adamw8bit
|
36 |
+
optimizer_params:
|
37 |
+
weight_decay: 0.0001
|
38 |
+
lr: 0.0001
|
39 |
+
ema_config:
|
40 |
+
use_ema: true
|
41 |
+
ema_decay: 0.99
|
42 |
+
dtype: bf16
|
43 |
+
model:
|
44 |
+
name_or_path: Wan-AI/Wan2.1-T2V-14B-Diffusers
|
45 |
+
quantize: false
|
46 |
+
arch: wan21
|
47 |
+
sample:
|
48 |
+
sampler: flowmatch
|
49 |
+
sample_every: 2001
|
50 |
+
width: 832
|
51 |
+
height: 480
|
52 |
+
num_frames: 33
|
53 |
+
fps: 16
|
54 |
+
prompts: []
|
55 |
+
neg: ''
|
56 |
+
seed: 42
|
57 |
+
walk_seed: true
|
58 |
+
guidance_scale: 5
|
59 |
+
sample_steps: 30
|
60 |
+
meta:
|
61 |
+
name: wan_train_replicate
|
62 |
+
version: '1.0'
|
wan2.1-14b-wan-laezel-lora.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e6a6306226c7ce53c1915ff8fb98079d633d96f31585a8e3318f88822294da95
|
3 |
+
size 306807624
|