Delete 20251103_03-44-07
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- 20251103_03-44-07/backup/Dataset_orig/ok (1).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (1).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (10).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (10).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (11).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (11).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (12).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (12).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (13).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (13).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (14).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (14).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (15).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (15).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (16).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (16).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (17).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (17).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (18).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (18).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (19).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (19).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (2).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (2).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (20).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (20).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (21).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (21).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (22).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (22).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (3).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (3).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (4).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (4).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (5).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (5).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (6).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (6).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (7).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (7).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (8).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (8).txt +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (9).mp4 +0 -3
- 20251103_03-44-07/backup/Dataset_orig/ok (9).txt +0 -3
- 20251103_03-44-07/backup/config_orig/comfy_config.toml +0 -72
- 20251103_03-44-07/backup/config_orig/dataset_hunyuan.toml +0 -10
- 20251103_03-44-07/backup/config_orig/dataset_wan.toml +0 -10
- 20251103_03-44-07/backup/config_orig/hunyuan_video.toml +0 -37
- 20251103_03-44-07/backup/config_orig/hv_workflow_api.json +0 -139
- 20251103_03-44-07/backup/config_orig/modal.toml +0 -91
20251103_03-44-07/backup/Dataset_orig/ok (1).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (1).txt
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She wears a white costume made of bands, garter straps and stockings.
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20251103_03-44-07/backup/Dataset_orig/ok (10).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (10).txt
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She wears a policewoman costume with a miniskirt, garter straps and stockings.
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20251103_03-44-07/backup/Dataset_orig/ok (11).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (11).txt
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The camera pulls back.
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She is wearing a bodysuit with garter straps and stockings.
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Her bodysuit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (12).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (12).txt
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The camera pulls back.
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She is wearing a white bodysuit with garter straps and stockings.
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Her bodysuit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (13).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (13).txt
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The camera pulls back.
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She is wearing a tank top, high-waisted garter belt and stockings.
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Her outfit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (14).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (14).txt
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The camera pulls back.
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She wears a maid costume with a miniskirt, garter straps and stockings.
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Her costume is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (15).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (15).txt
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The camera pulls back.
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She is wearing an unbuttoned blouse, a pink bra, a garter belt and stockings.
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Her outfit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (16).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (16).txt
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The camera pulls back.
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She is wearing a red bra, black garter belt and black stockings.
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Her outfit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (17).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (17).txt
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The camera pulls back.
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She is wearing a black bodysuit with garter straps and stockings.
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Her bodysuit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (18).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (18).txt
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The camera pulls back.
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She is wearing a bra, garter belt and stockings.
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Her outfit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (19).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (19).txt
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The camera pulls back.
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She is wearing a black shirt, garter belt and stockings.
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Her outfit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (2).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (2).txt
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The camera pulls back.
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She is wearing a top, garter belt and stockings.
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Her outfit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (20).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (20).txt
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The camera pulls back.
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She wears a latex bodysuit with garter straps and stockings.
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Her bodysuit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (21).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (21).txt
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The camera pulls back.
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Her bodysuit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (22).mp4
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20251103_03-44-07/backup/Dataset_orig/ok (22).txt
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She is wearing a wedding dress with garter straps and stockings.
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The camera pulls back.
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Her bodysuit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (5).txt
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Her bodysuit is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (6).txt
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She wears a nurse costume with garter straps and stockings.
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Her costume is bottomless and she has no panties so her vagina is uncovered.
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20251103_03-44-07/backup/Dataset_orig/ok (7).txt
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She is wearing a white bra, garter belt and stockings.
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20251103_03-44-07/backup/Dataset_orig/ok (9).txt
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| 1 |
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The camera pulls back.
|
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She is wearing a black bodysuit with garter straps and stockings.
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20251103_03-44-07/backup/config_orig/comfy_config.toml
DELETED
|
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|
|
| 1 |
-
[nodes]
|
| 2 |
-
nodes = [
|
| 3 |
-
"https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite@0a75c79",
|
| 4 |
-
"https://github.com/kijai/ComfyUI-HunyuanVideoWrapper@1b4164f",
|
| 5 |
-
"https://github.com/kijai/ComfyUI-WanVideoWrapper@56bd434",
|
| 6 |
-
]
|
| 7 |
-
|
| 8 |
-
[[models]]
|
| 9 |
-
link = "https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hunyuan_video_vae_bf16.safetensors"
|
| 10 |
-
filename = "hunyuan_video_vae_bf16.safetensors"
|
| 11 |
-
type = "vae"
|
| 12 |
-
for = "hunyuan"
|
| 13 |
-
|
| 14 |
-
[[models]]
|
| 15 |
-
link = "https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors"
|
| 16 |
-
type = "unet"
|
| 17 |
-
for = "hunyuan"
|
| 18 |
-
|
| 19 |
-
[[models]]
|
| 20 |
-
link = "https://huggingface.co/openai/clip-vit-large-patch14/tree/main"
|
| 21 |
-
type = "clip"
|
| 22 |
-
for = "hunyuan"
|
| 23 |
-
|
| 24 |
-
[[models]]
|
| 25 |
-
link = "https://huggingface.co/Kijai/llava-llama-3-8b-text-encoder-tokenizer/tree/main"
|
| 26 |
-
type = "LLM"
|
| 27 |
-
for = "hunyuan"
|
| 28 |
-
|
| 29 |
-
[[models]]
|
| 30 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1_VAE_bf16.safetensors"
|
| 31 |
-
type = "vae"
|
| 32 |
-
for = "wan"
|
| 33 |
-
|
| 34 |
-
[[models]]
|
| 35 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1_VAE_fp32.safetensors"
|
| 36 |
-
type = "vae"
|
| 37 |
-
for = "wan"
|
| 38 |
-
|
| 39 |
-
[[models]]
|
| 40 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-bf16.safetensors"
|
| 41 |
-
type = "text_encoder"
|
| 42 |
-
for = "wan"
|
| 43 |
-
|
| 44 |
-
[[models]]
|
| 45 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-fp8_e4m3fn.safetensors"
|
| 46 |
-
type = "text_encoder"
|
| 47 |
-
for = "wan"
|
| 48 |
-
|
| 49 |
-
[[models]]
|
| 50 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/open-clip-xlm-roberta-large-vit-huge-14_visual_fp16.safetensors"
|
| 51 |
-
type = "text_encoder"
|
| 52 |
-
for = "wan"
|
| 53 |
-
|
| 54 |
-
[[models]]
|
| 55 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/open-clip-xlm-roberta-large-vit-huge-14_visual_fp32.safetensors"
|
| 56 |
-
type = "text_encoder"
|
| 57 |
-
for = "wan"
|
| 58 |
-
|
| 59 |
-
[[models]]
|
| 60 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1-I2V-14B-480P_fp8_e4m3fn.safetensors"
|
| 61 |
-
type = "diffusion_models"
|
| 62 |
-
for = "wan"
|
| 63 |
-
|
| 64 |
-
[[models]]
|
| 65 |
-
link = "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1-I2V-14B-720P_fp8_e4m3fn.safetensors"
|
| 66 |
-
type = "diffusion_models"
|
| 67 |
-
for = "wan"
|
| 68 |
-
|
| 69 |
-
[[models]]
|
| 70 |
-
link = "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors"
|
| 71 |
-
type = "loras"
|
| 72 |
-
for = "wan"
|
|
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20251103_03-44-07/backup/config_orig/dataset_hunyuan.toml
DELETED
|
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|
|
| 1 |
-
resolutions = [ 720,]
|
| 2 |
-
enable_ar_bucket = false
|
| 3 |
-
min_ar = 1.68
|
| 4 |
-
max_ar = 1.88
|
| 5 |
-
num_ar_buckets = 1
|
| 6 |
-
frame_buckets = [ 1, 41, 81,]
|
| 7 |
-
[[directory]]
|
| 8 |
-
path = "/root/data/hunyuan/Dataset"
|
| 9 |
-
num_repeats = 2
|
| 10 |
-
|
|
|
|
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20251103_03-44-07/backup/config_orig/dataset_wan.toml
DELETED
|
@@ -1,10 +0,0 @@
|
|
| 1 |
-
resolutions = [ 720,]
|
| 2 |
-
enable_ar_bucket = false
|
| 3 |
-
min_ar = 1.68
|
| 4 |
-
max_ar = 1.88
|
| 5 |
-
num_ar_buckets = 1
|
| 6 |
-
frame_buckets = [ 1, 41, 81,]
|
| 7 |
-
[[directory]]
|
| 8 |
-
path = "/root/data/wan/Dataset"
|
| 9 |
-
num_repeats = 2
|
| 10 |
-
|
|
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20251103_03-44-07/backup/config_orig/hunyuan_video.toml
DELETED
|
@@ -1,37 +0,0 @@
|
|
| 1 |
-
output_dir = "/root/diffusion-pipe/hunyuan-video-lora"
|
| 2 |
-
dataset = "/root/config/dataset_hunyuan.toml"
|
| 3 |
-
epochs = 1
|
| 4 |
-
micro_batch_size_per_gpu = 8
|
| 5 |
-
pipeline_stages = 1
|
| 6 |
-
gradient_accumulation_steps = 8
|
| 7 |
-
gradient_clipping = 1.0
|
| 8 |
-
warmup_steps = 50
|
| 9 |
-
eval_every_n_epochs = 1
|
| 10 |
-
save_every_n_epochs = 1
|
| 11 |
-
activation_checkpointing = true
|
| 12 |
-
caching_batch_size = 4
|
| 13 |
-
steps_per_print = 1
|
| 14 |
-
video_clip_mode = "single_middle"
|
| 15 |
-
checkpoint_every_n_epochs = 1
|
| 16 |
-
|
| 17 |
-
[model]
|
| 18 |
-
type = "hunyuan-video"
|
| 19 |
-
dtype = "bfloat16"
|
| 20 |
-
transformer_dtype = "float8"
|
| 21 |
-
timestep_sample_method = "logit_normal"
|
| 22 |
-
transformer_path = "/root/diffusion-pipe/ckpts/hunyuan-video-t2v-720p/transformers/hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors"
|
| 23 |
-
vae_path = "/root/diffusion-pipe/ckpts/hunyuan-video-t2v-720p/vae/hunyuan_video_vae_bf16.safetensors"
|
| 24 |
-
clip_path = "/root/diffusion-pipe/ckpts/text_encoder_2/clip-vit-large-patch14"
|
| 25 |
-
llm_path = "/root/diffusion-pipe/ckpts/text_encoder/llava-llama-3-8b-text-encoder-tokenizer"
|
| 26 |
-
|
| 27 |
-
[adapter]
|
| 28 |
-
type = "lora"
|
| 29 |
-
rank = 32
|
| 30 |
-
dtype = "bfloat16"
|
| 31 |
-
|
| 32 |
-
[optimizer]
|
| 33 |
-
type = "adamw_optimi"
|
| 34 |
-
lr = 0.0001
|
| 35 |
-
weight_decay = 0.01
|
| 36 |
-
betas = [ 0.9, 0.99,]
|
| 37 |
-
eps = 1e-8
|
|
|
|
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|
20251103_03-44-07/backup/config_orig/hv_workflow_api.json
DELETED
|
@@ -1,139 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"1": {
|
| 3 |
-
"inputs": {
|
| 4 |
-
"model": "hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors",
|
| 5 |
-
"base_precision": "bf16",
|
| 6 |
-
"quantization": "fp8_e4m3fn",
|
| 7 |
-
"load_device": "offload_device",
|
| 8 |
-
"attention_mode": "sdpa",
|
| 9 |
-
"auto_cpu_offload": false,
|
| 10 |
-
"upcast_rope": true,
|
| 11 |
-
"lora": [
|
| 12 |
-
"41",
|
| 13 |
-
0
|
| 14 |
-
]
|
| 15 |
-
},
|
| 16 |
-
"class_type": "HyVideoModelLoader",
|
| 17 |
-
"_meta": {
|
| 18 |
-
"title": "HunyuanVideo Model Loader"
|
| 19 |
-
}
|
| 20 |
-
},
|
| 21 |
-
"3": {
|
| 22 |
-
"inputs": {
|
| 23 |
-
"width": 512,
|
| 24 |
-
"height": 320,
|
| 25 |
-
"num_frames": 85,
|
| 26 |
-
"steps": 30,
|
| 27 |
-
"embedded_guidance_scale": 6,
|
| 28 |
-
"flow_shift": 9,
|
| 29 |
-
"seed": 6,
|
| 30 |
-
"force_offload": 1,
|
| 31 |
-
"denoise_strength": 1,
|
| 32 |
-
"scheduler": "FlowMatchDiscreteScheduler",
|
| 33 |
-
"model": [
|
| 34 |
-
"1",
|
| 35 |
-
0
|
| 36 |
-
],
|
| 37 |
-
"hyvid_embeds": [
|
| 38 |
-
"30",
|
| 39 |
-
0
|
| 40 |
-
]
|
| 41 |
-
},
|
| 42 |
-
"class_type": "HyVideoSampler",
|
| 43 |
-
"_meta": {
|
| 44 |
-
"title": "HunyuanVideo Sampler"
|
| 45 |
-
}
|
| 46 |
-
},
|
| 47 |
-
"5": {
|
| 48 |
-
"inputs": {
|
| 49 |
-
"enable_vae_tiling": true,
|
| 50 |
-
"temporal_tiling_sample_size": 64,
|
| 51 |
-
"spatial_tile_sample_min_size": 256,
|
| 52 |
-
"auto_tile_size": true,
|
| 53 |
-
"vae": [
|
| 54 |
-
"7",
|
| 55 |
-
0
|
| 56 |
-
],
|
| 57 |
-
"samples": [
|
| 58 |
-
"3",
|
| 59 |
-
0
|
| 60 |
-
]
|
| 61 |
-
},
|
| 62 |
-
"class_type": "HyVideoDecode",
|
| 63 |
-
"_meta": {
|
| 64 |
-
"title": "HunyuanVideo Decode"
|
| 65 |
-
}
|
| 66 |
-
},
|
| 67 |
-
"7": {
|
| 68 |
-
"inputs": {
|
| 69 |
-
"model_name": "hunyuan_video_vae_bf16.safetensors",
|
| 70 |
-
"precision": "bf16"
|
| 71 |
-
},
|
| 72 |
-
"class_type": "HyVideoVAELoader",
|
| 73 |
-
"_meta": {
|
| 74 |
-
"title": "HunyuanVideo VAE Loader"
|
| 75 |
-
}
|
| 76 |
-
},
|
| 77 |
-
"16": {
|
| 78 |
-
"inputs": {
|
| 79 |
-
"llm_model": "Kijai/llava-llama-3-8b-text-encoder-tokenizer",
|
| 80 |
-
"clip_model": "openai/clip-vit-large-patch14",
|
| 81 |
-
"precision": "fp16",
|
| 82 |
-
"apply_final_norm": false,
|
| 83 |
-
"hidden_state_skip_layer": 2,
|
| 84 |
-
"quantization": "disabled",
|
| 85 |
-
"load_device": "offload_device"
|
| 86 |
-
},
|
| 87 |
-
"class_type": "DownloadAndLoadHyVideoTextEncoder",
|
| 88 |
-
"_meta": {
|
| 89 |
-
"title": "(Down)Load HunyuanVideo TextEncoder"
|
| 90 |
-
}
|
| 91 |
-
},
|
| 92 |
-
"30": {
|
| 93 |
-
"inputs": {
|
| 94 |
-
"prompt": "",
|
| 95 |
-
"force_offload": true,
|
| 96 |
-
"prompt_template": "video",
|
| 97 |
-
"text_encoders": [
|
| 98 |
-
"16",
|
| 99 |
-
0
|
| 100 |
-
]
|
| 101 |
-
},
|
| 102 |
-
"class_type": "HyVideoTextEncode",
|
| 103 |
-
"_meta": {
|
| 104 |
-
"title": "HunyuanVideo TextEncode"
|
| 105 |
-
}
|
| 106 |
-
},
|
| 107 |
-
"34": {
|
| 108 |
-
"inputs": {
|
| 109 |
-
"frame_rate": 24,
|
| 110 |
-
"loop_count": 0,
|
| 111 |
-
"filename_prefix": "HunyuanVideo",
|
| 112 |
-
"format": "video/h264-mp4",
|
| 113 |
-
"pix_fmt": "yuv420p",
|
| 114 |
-
"crf": 19,
|
| 115 |
-
"save_metadata": true,
|
| 116 |
-
"trim_to_audio": false,
|
| 117 |
-
"pingpong": false,
|
| 118 |
-
"save_output": true,
|
| 119 |
-
"images": [
|
| 120 |
-
"5",
|
| 121 |
-
0
|
| 122 |
-
]
|
| 123 |
-
},
|
| 124 |
-
"class_type": "VHS_VideoCombine",
|
| 125 |
-
"_meta": {
|
| 126 |
-
"title": "Video Combine \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62"
|
| 127 |
-
}
|
| 128 |
-
},
|
| 129 |
-
"41": {
|
| 130 |
-
"inputs": {
|
| 131 |
-
"lora": "20250210_05-19-13/epoch85/adapter_model.safetensors",
|
| 132 |
-
"strength": 0.8500000000000001
|
| 133 |
-
},
|
| 134 |
-
"class_type": "HyVideoLoraSelect",
|
| 135 |
-
"_meta": {
|
| 136 |
-
"title": "HunyuanVideo Lora Select"
|
| 137 |
-
}
|
| 138 |
-
}
|
| 139 |
-
}
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|
20251103_03-44-07/backup/config_orig/modal.toml
DELETED
|
@@ -1,91 +0,0 @@
|
|
| 1 |
-
[model]
|
| 2 |
-
type = "wan"
|
| 3 |
-
|
| 4 |
-
[deploy]
|
| 5 |
-
mode = "wan"
|
| 6 |
-
|
| 7 |
-
[debug]
|
| 8 |
-
only_test_lora = false
|
| 9 |
-
|
| 10 |
-
[core]
|
| 11 |
-
gpu_type = "H100"
|
| 12 |
-
gpu_count = 1
|
| 13 |
-
timeout_hours = 3
|
| 14 |
-
gpu_type_test = "A100-40GB"
|
| 15 |
-
gpu_count_test = 1
|
| 16 |
-
timeout_hours_test = 1
|
| 17 |
-
[[core.volumes]]
|
| 18 |
-
name = "wan-training-results"
|
| 19 |
-
path = "/root/diffusion-pipe/wan-lora"
|
| 20 |
-
|
| 21 |
-
[[core.volumes]]
|
| 22 |
-
name = "hf-cache"
|
| 23 |
-
path = "/root/.cache/huggingface"
|
| 24 |
-
|
| 25 |
-
[[core.volumes]]
|
| 26 |
-
name = "comfy-output"
|
| 27 |
-
path = "/root/comfy/ComfyUI/output"
|
| 28 |
-
|
| 29 |
-
[training]
|
| 30 |
-
resume = false
|
| 31 |
-
resume_folder = ""
|
| 32 |
-
dataset_dir = "Dataset"
|
| 33 |
-
epochs = 10
|
| 34 |
-
micro_batch_size = 2
|
| 35 |
-
gradient_accum_steps = 4
|
| 36 |
-
warmup_steps = 50
|
| 37 |
-
learning_rate = 0.0001
|
| 38 |
-
weight_decay = 0.01
|
| 39 |
-
lora_rank = 16
|
| 40 |
-
lora_dtype = "bfloat16"
|
| 41 |
-
save_every_n_epochs = 5
|
| 42 |
-
checkpoint_mode = "epochs"
|
| 43 |
-
checkpoint_frequency = 5
|
| 44 |
-
pipeline_stages = 1
|
| 45 |
-
gradient_clipping = 1.0
|
| 46 |
-
activation_checkpointing = true
|
| 47 |
-
eval_every_n_epochs = 1
|
| 48 |
-
caching_batch_size = 2
|
| 49 |
-
steps_per_print = 1
|
| 50 |
-
|
| 51 |
-
[inference]
|
| 52 |
-
api_endpoint = "https://nervopastorale--lora-training-comfyapi-endpoint.modal.run"
|
| 53 |
-
workflow_path = "config/wan_img2video_lora_workflow_api.json"
|
| 54 |
-
test_enabled = false
|
| 55 |
-
test_strength = 1.0
|
| 56 |
-
test_height = 830
|
| 57 |
-
test_width = 480
|
| 58 |
-
test_frames = 81
|
| 59 |
-
test_steps = 30
|
| 60 |
-
test_folder = ""
|
| 61 |
-
test_mode = "latest"
|
| 62 |
-
test_epochs = []
|
| 63 |
-
test_latest_n = 1
|
| 64 |
-
test_prompts = [ "The video shows a water bottle being crushed by a hydraulic press. The blue water bottle is placed between two circular metal plates, which sit on a larger metal surface. The hydraulic press descends from above, slowly compressing the water bottle. As the hydraulic press head moves down, the water bottle begins to deform and leak water. By the end of the video, the water bottle is completely crushed. The background is a green metal wall with some yellow and black hazard markings.", "The video shows a red car being crushed by a hydraulic press. The red car is placed in white background. The hydraulic MCH01 press descends from above, slowly compressing the red car. As the MCH01 hydraulic press head moves down, the red car begins to deform and debris from the red car splashed. By the end of the video, the red car is completely crushed. The background is a green metal wall with some yellow and black hazard markings.",]
|
| 65 |
-
|
| 66 |
-
[hf]
|
| 67 |
-
auto_upload = false
|
| 68 |
-
private_repo = true
|
| 69 |
-
upload_test_outputs = true
|
| 70 |
-
upload_tensorboard = false
|
| 71 |
-
force_redownload = false
|
| 72 |
-
skip_existing = true
|
| 73 |
-
upload_endpoint = "https://nervopastorale--lora-training-upload.modal.run"
|
| 74 |
-
download_endpoint = "https://nervopastorale--lora-training-download.modal.run"
|
| 75 |
-
repo_upload = ""
|
| 76 |
-
|
| 77 |
-
[training.dataset]
|
| 78 |
-
resolutions = [ 720,]
|
| 79 |
-
enable_ar_bucket = false
|
| 80 |
-
min_ar = 1.68
|
| 81 |
-
max_ar = 1.88
|
| 82 |
-
num_ar_buckets = 1
|
| 83 |
-
frame_buckets = [ 1, 41, 81,]
|
| 84 |
-
num_repeats = 2
|
| 85 |
-
|
| 86 |
-
[models.training]
|
| 87 |
-
transformer = "https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors"
|
| 88 |
-
vae = "https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hunyuan_video_vae_bf16.safetensors"
|
| 89 |
-
clip = "https://huggingface.co/openai/clip-vit-large-patch14/tree/main"
|
| 90 |
-
llm = "https://huggingface.co/Kijai/llava-llama-3-8b-text-encoder-tokenizer/tree/main"
|
| 91 |
-
ckpt_path = "https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P"
|
|
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