Instructions to use kimi000/silver-orbit-62 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kimi000/silver-orbit-62 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kimi000/silver-orbit-62", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Add files using upload-large-folder tool
Browse files- .gitattributes +2 -0
- LICENSE.md +176 -0
- README.md +21 -0
- artifact_checksums.sha256 +41 -0
- demo.py +37 -0
- export_manifest.json +24 -0
- model_index.json +26 -0
- pipeline.py +27 -0
- scheduler/scheduler_config.json +18 -0
- smoke_512.png +3 -0
- text_encoder/config.json +68 -0
- text_encoder/generation_config.json +13 -0
- text_encoder/model-00001-of-00009.safetensors +3 -0
- text_encoder/model-00002-of-00009.safetensors +3 -0
- text_encoder/model-00003-of-00009.safetensors +3 -0
- text_encoder/model-00004-of-00009.safetensors +3 -0
- text_encoder/model-00005-of-00009.safetensors +3 -0
- text_encoder/model-00006-of-00009.safetensors +3 -0
- text_encoder/model-00007-of-00009.safetensors +3 -0
- text_encoder/model-00008-of-00009.safetensors +3 -0
- text_encoder/model-00009-of-00009.safetensors +3 -0
- text_encoder/model.safetensors.index.json +406 -0
- tokenizer/added_tokens.json +28 -0
- tokenizer/chat_template.jinja +89 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +31 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +239 -0
- tokenizer/vocab.json +0 -0
- transformer/config.json +24 -0
- transformer/diffusion_pytorch_model-00001-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00004-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00005-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00006-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00007-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00008-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00009-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +176 -0
- vae/config.json +41 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
- verification.json +18 -0
.gitattributes
CHANGED
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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smoke_512.png filter=lfs diff=lfs merge=lfs -text
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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LICENSE.md
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END OF TERMS AND CONDITIONS
|
README.md
ADDED
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---
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| 2 |
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license: other
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| 3 |
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base_model: black-forest-labs/FLUX.2-klein-base-4B
|
| 4 |
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pipeline_tag: text-to-image
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---
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| 6 |
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# FLUX.2 Klein Base 4B AlphaGRPO checkpoint
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| 8 |
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This is a complete native Diffusers `Flux2KleinPipeline`. The EMA LoRA is
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already merged into the transformer, so FAR and PEFT are not required for
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| 11 |
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inference.
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Source experiment: `flux2_klein_base_4b_diffusionnft_alphagrpo_dvreward_alphagrpo20k_512px_20step_cfg4_16prompts_group14_7train_1dvreward_tp1_2node_nrt`
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| 14 |
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Source checkpoint: `step_600.pt`
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| 16 |
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Training profile: 512px, 20 rollout steps, CFG 4, AlphaGRPO DVReward.
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| 18 |
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| 19 |
+
```bash
|
| 20 |
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python demo.py --prompt "A red cube beside a blue glass sphere."
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| 21 |
+
```
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artifact_checksums.sha256
ADDED
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| 1 |
+
ca02bc51900ab07789d1b70283329e7137f5af98f5161c23a1c81fc38a4af1fe LICENSE.md
|
| 2 |
+
b22eeabd66cb2e2bf78bd64b56dbe246b525ecd865bd48a35c35025c64f9fcfb README.md
|
| 3 |
+
6e0cf32396382f34dab2345de02028cb9d3cdfd5d0e3bca65bab448acd7a8bc6 demo.py
|
| 4 |
+
fb32d65cf042de042bd14d7193d32e2d5023650081b3d478d2e509e400019dcd export_manifest.json
|
| 5 |
+
0a39848175a01876c25ab7dcccb1f12b8ad5257687b0da4d690e2a80b26bb679 model_index.json
|
| 6 |
+
41bc00fbd6370b7c2341c0e2de7efc17a9b4d63dcfb48fcab82b665bfd2aa17f pipeline.py
|
| 7 |
+
5d5af7e00dad78642b2bd51ddad2ba0f2758dbef9fb441a3dbee5ceb2fbcb8e3 scheduler/scheduler_config.json
|
| 8 |
+
1e70ee416ac074a4439b09472e89b5ad63f056abea86080a46abebf43e0aeb4f smoke_512.png
|
| 9 |
+
5ef8ab0396a0e7bdca392bba52df1a67f097411ba67e359a63e9d059304cea4e text_encoder/config.json
|
| 10 |
+
19d9395705449004ddebeeaf62841338a48cc8df85cddb1ca0b2c60396d95c96 text_encoder/generation_config.json
|
| 11 |
+
57f8f125f877b5a94aa3264a03cd78a2b40c45331c851df4b42501813c98ba96 text_encoder/model-00001-of-00009.safetensors
|
| 12 |
+
b8dfce452c2ac782f536802eb830ce6adcda720b158afcb53fa45630b89a38b1 text_encoder/model-00002-of-00009.safetensors
|
| 13 |
+
3eef84c4a964fdb059775c2515d91e3c8ab15fd65b46693f04b79aaa601adce6 text_encoder/model-00003-of-00009.safetensors
|
| 14 |
+
969d70f61b9fcbd22ff93ed75dfa653115b78c36c293e85bdde85e2a30b856fe text_encoder/model-00004-of-00009.safetensors
|
| 15 |
+
d38ca8dca7de1cfce04f1551688b795b56f3e83c058a49a54f9e4ef070f580d9 text_encoder/model-00005-of-00009.safetensors
|
| 16 |
+
3b124ab247c998e318620edf110a2b49f7289b4c344b56398f177cc16987a254 text_encoder/model-00006-of-00009.safetensors
|
| 17 |
+
04a7a53a1c3a36aa6422ecd624d6b34b02c1cb27477c2ca66945aa6895ecdbd1 text_encoder/model-00007-of-00009.safetensors
|
| 18 |
+
2a0e1f11748d3be73963261f19d368c7ca07c4d3392d2484122cb2e41e585ab7 text_encoder/model-00008-of-00009.safetensors
|
| 19 |
+
54c5f906afe14357fb5a3db62944d7287163c4e332e7328196dab88b5237ef97 text_encoder/model-00009-of-00009.safetensors
|
| 20 |
+
3413d0b85ca60ad69d033c826ddc12e185515a6e0783c83df0dfba9c3b0d657e text_encoder/model.safetensors.index.json
|
| 21 |
+
c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680 tokenizer/added_tokens.json
|
| 22 |
+
a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8 tokenizer/chat_template.jinja
|
| 23 |
+
8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5 tokenizer/merges.txt
|
| 24 |
+
76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd tokenizer/special_tokens_map.json
|
| 25 |
+
aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4 tokenizer/tokenizer.json
|
| 26 |
+
443bfa629eb16387a12edbf92a76f6a6f10b2af3b53d87ba1550adfcf45f7fa0 tokenizer/tokenizer_config.json
|
| 27 |
+
ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910 tokenizer/vocab.json
|
| 28 |
+
95b5c882d3b652878bdf3447def1102f14957c4d672e4ec759ce6f5d6311affe transformer/config.json
|
| 29 |
+
f8c73adb3c6db244cce0ee39412c35eb61064ed119b38c5d674af2318c9bf8ad transformer/diffusion_pytorch_model-00001-of-00009.safetensors
|
| 30 |
+
eab60aad3cbee69725cc83b4533d1a0bc51b64525ab155f8ed51c5ca417722e8 transformer/diffusion_pytorch_model-00002-of-00009.safetensors
|
| 31 |
+
76434abcdb649a32085d7c4688ffc26011179638d190a35200d39bed827dbddb transformer/diffusion_pytorch_model-00003-of-00009.safetensors
|
| 32 |
+
124655f6b9123035e51d772d0f7926a18bfa8a21f59b2f53eb5fae97348b6a4e transformer/diffusion_pytorch_model-00004-of-00009.safetensors
|
| 33 |
+
d38a3063aded27a8e99295ad5974745cf82fa6a739ad4b82b77e5a7d1aad83c0 transformer/diffusion_pytorch_model-00005-of-00009.safetensors
|
| 34 |
+
a6f6278a75e3a265f2d720864962ab5258e9d4e37e3326963e8f766bd21b304a transformer/diffusion_pytorch_model-00006-of-00009.safetensors
|
| 35 |
+
43b8c334c65ba82ea39ead2573afe7510159a47383b735ffedda474b214c4445 transformer/diffusion_pytorch_model-00007-of-00009.safetensors
|
| 36 |
+
21be2c99eecd6b888d3f87fa4d7adc00573681db25e53d27fc43b2a3d72842d3 transformer/diffusion_pytorch_model-00008-of-00009.safetensors
|
| 37 |
+
392c55726afb7db6643737d0dc63119068e86187550d4c34bc18e0fe8378732e transformer/diffusion_pytorch_model-00009-of-00009.safetensors
|
| 38 |
+
f2964d3cce66b54f2f1d82dcb6a7e097ed5ff9ab4aa523c89fb74b0571d38f04 transformer/diffusion_pytorch_model.safetensors.index.json
|
| 39 |
+
190b52240604c890f8086c5c9c15356fe85bae26a2ce5e2cc7fcd5b1a46fec9b vae/config.json
|
| 40 |
+
ca70d2202afe6415bdbcb8793ba8cd99fd159cfe6192381504d6c4d3036e0f04 vae/diffusion_pytorch_model.safetensors
|
| 41 |
+
0b209bbd0ee18a35c1acccc5f1a6c56250454b72963a45289688b483a3385102 verification.json
|
demo.py
ADDED
|
@@ -0,0 +1,37 @@
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|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
from __future__ import annotations
|
| 3 |
+
|
| 4 |
+
import argparse
|
| 5 |
+
from pathlib import Path
|
| 6 |
+
|
| 7 |
+
from pipeline import generate, load_pipeline
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def main():
|
| 11 |
+
parser = argparse.ArgumentParser()
|
| 12 |
+
parser.add_argument("--model", default=str(Path(__file__).resolve().parent))
|
| 13 |
+
parser.add_argument("--prompt", required=True)
|
| 14 |
+
parser.add_argument("--output", default="output.png")
|
| 15 |
+
parser.add_argument("--height", type=int, default=512)
|
| 16 |
+
parser.add_argument("--width", type=int, default=512)
|
| 17 |
+
parser.add_argument("--steps", type=int, default=20)
|
| 18 |
+
parser.add_argument("--cfg", type=float, default=4.0)
|
| 19 |
+
parser.add_argument("--seed", type=int, default=0)
|
| 20 |
+
args = parser.parse_args()
|
| 21 |
+
|
| 22 |
+
pipe = load_pipeline(args.model)
|
| 23 |
+
image = generate(
|
| 24 |
+
pipe,
|
| 25 |
+
args.prompt,
|
| 26 |
+
height=args.height,
|
| 27 |
+
width=args.width,
|
| 28 |
+
steps=args.steps,
|
| 29 |
+
cfg=args.cfg,
|
| 30 |
+
seed=args.seed,
|
| 31 |
+
)
|
| 32 |
+
image.save(args.output)
|
| 33 |
+
print(args.output)
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
if __name__ == "__main__":
|
| 37 |
+
main()
|
export_manifest.json
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
{
|
| 2 |
+
"base_model": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/hcai/workspace/code/.cache/huggingface/hub/models--black-forest-labs--FLUX.2-klein-base-4B/snapshots/a3b4f4849157f664bdbc776fd7453c2783562f4d",
|
| 3 |
+
"checkpoint": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/hcai/workspace/code/junyiwu/FAR-Anyflow1.5/experiments/flux2_klein_base_4b_diffusionnft_alphagrpo_dvreward_alphagrpo20k_512px_20step_cfg4_16prompts_group14_7train_1dvreward_tp1_2node_nrt/models/step_600.pt",
|
| 4 |
+
"checkpoint_sha256": "7aee299d4aab3a878b59ef68f9d533bbcbd646ddeea79d40d0b4392eaeceaac6",
|
| 5 |
+
"diffusers_version": "0.39.0",
|
| 6 |
+
"dtype": "bfloat16",
|
| 7 |
+
"format": "diffusers-flux2-klein-pipeline",
|
| 8 |
+
"global_step": 600,
|
| 9 |
+
"lora_alpha": 64.0,
|
| 10 |
+
"lora_rank": 32,
|
| 11 |
+
"native_pipeline_class": "diffusers.Flux2KleinPipeline",
|
| 12 |
+
"native_transformer_class": "diffusers.Flux2Transformer2DModel",
|
| 13 |
+
"parameters": 3875544576,
|
| 14 |
+
"scheduler": {
|
| 15 |
+
"num_train_timesteps": 1000,
|
| 16 |
+
"stochastic_sampling": false,
|
| 17 |
+
"use_dynamic_shifting": true
|
| 18 |
+
},
|
| 19 |
+
"source_experiment": "flux2_klein_base_4b_diffusionnft_alphagrpo_dvreward_alphagrpo20k_512px_20step_cfg4_16prompts_group14_7train_1dvreward_tp1_2node_nrt",
|
| 20 |
+
"source_revision": "a3b4f4849157f664bdbc776fd7453c2783562f4d",
|
| 21 |
+
"tensor_keys": 169,
|
| 22 |
+
"torch_version": "2.9.1+cu128",
|
| 23 |
+
"weight": "ema"
|
| 24 |
+
}
|
model_index.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "Flux2KleinPipeline",
|
| 3 |
+
"_diffusers_version": "0.39.0",
|
| 4 |
+
"_name_or_path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/hcai/workspace/code/.cache/huggingface/hub/models--black-forest-labs--FLUX.2-klein-base-4B/snapshots/a3b4f4849157f664bdbc776fd7453c2783562f4d",
|
| 5 |
+
"is_distilled": false,
|
| 6 |
+
"scheduler": [
|
| 7 |
+
"diffusers",
|
| 8 |
+
"FlowMatchEulerDiscreteScheduler"
|
| 9 |
+
],
|
| 10 |
+
"text_encoder": [
|
| 11 |
+
"transformers",
|
| 12 |
+
"Qwen3ForCausalLM"
|
| 13 |
+
],
|
| 14 |
+
"tokenizer": [
|
| 15 |
+
"transformers",
|
| 16 |
+
"Qwen2TokenizerFast"
|
| 17 |
+
],
|
| 18 |
+
"transformer": [
|
| 19 |
+
"diffusers",
|
| 20 |
+
"Flux2Transformer2DModel"
|
| 21 |
+
],
|
| 22 |
+
"vae": [
|
| 23 |
+
"diffusers",
|
| 24 |
+
"AutoencoderKLFlux2"
|
| 25 |
+
]
|
| 26 |
+
}
|
pipeline.py
ADDED
|
@@ -0,0 +1,27 @@
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Inference helpers for the native Diffusers FLUX.2 Klein pipeline."""
|
| 2 |
+
|
| 3 |
+
from __future__ import annotations
|
| 4 |
+
|
| 5 |
+
import torch
|
| 6 |
+
from diffusers import Flux2KleinPipeline
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def load_pipeline(model_path, device="cuda", dtype=torch.bfloat16):
|
| 10 |
+
pipe = Flux2KleinPipeline.from_pretrained(
|
| 11 |
+
model_path,
|
| 12 |
+
torch_dtype=dtype,
|
| 13 |
+
local_files_only=True,
|
| 14 |
+
)
|
| 15 |
+
return pipe.to(device)
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
def generate(pipe, prompt, *, height=512, width=512, steps=20, cfg=4.0, seed=0):
|
| 19 |
+
generator = torch.Generator(device=pipe.device).manual_seed(seed)
|
| 20 |
+
return pipe(
|
| 21 |
+
prompt=prompt,
|
| 22 |
+
height=height,
|
| 23 |
+
width=width,
|
| 24 |
+
num_inference_steps=steps,
|
| 25 |
+
guidance_scale=cfg,
|
| 26 |
+
generator=generator,
|
| 27 |
+
).images[0]
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.39.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 3.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": true,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
smoke_512.png
ADDED
|
Git LFS Details
|
text_encoder/config.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"dtype": "bfloat16",
|
| 9 |
+
"eos_token_id": 151645,
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 2560,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 9728,
|
| 15 |
+
"layer_types": [
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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| 48 |
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|
| 49 |
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|
| 50 |
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|
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|
| 52 |
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|
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|
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|
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|
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|
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|
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|
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text_encoder/generation_config.json
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|
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|
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"model.layers.8.self_attn.q_norm.weight": "model-00003-of-00009.safetensors",
|
| 391 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00003-of-00009.safetensors",
|
| 392 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00003-of-00009.safetensors",
|
| 393 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00009.safetensors",
|
| 394 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00009.safetensors",
|
| 395 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00009.safetensors",
|
| 396 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00009.safetensors",
|
| 397 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00009.safetensors",
|
| 398 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00003-of-00009.safetensors",
|
| 399 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00009.safetensors",
|
| 400 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00009.safetensors",
|
| 401 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00003-of-00009.safetensors",
|
| 402 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00009.safetensors",
|
| 403 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00009.safetensors",
|
| 404 |
+
"model.norm.weight": "model-00009-of-00009.safetensors"
|
| 405 |
+
}
|
| 406 |
+
}
|
tokenizer/added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
tokenizer/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
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|
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|
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|
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|
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|
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|
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|
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|
| 175 |
+
}
|
| 176 |
+
}
|
vae/config.json
ADDED
|
@@ -0,0 +1,41 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKLFlux2",
|
| 3 |
+
"_diffusers_version": "0.39.0",
|
| 4 |
+
"_name_or_path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/hcai/workspace/code/.cache/huggingface/hub/models--black-forest-labs--FLUX.2-klein-base-4B/snapshots/a3b4f4849157f664bdbc776fd7453c2783562f4d/vae",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"batch_norm_eps": 0.0001,
|
| 7 |
+
"batch_norm_momentum": 0.1,
|
| 8 |
+
"block_out_channels": [
|
| 9 |
+
128,
|
| 10 |
+
256,
|
| 11 |
+
512,
|
| 12 |
+
512
|
| 13 |
+
],
|
| 14 |
+
"decoder_block_out_channels": null,
|
| 15 |
+
"down_block_types": [
|
| 16 |
+
"DownEncoderBlock2D",
|
| 17 |
+
"DownEncoderBlock2D",
|
| 18 |
+
"DownEncoderBlock2D",
|
| 19 |
+
"DownEncoderBlock2D"
|
| 20 |
+
],
|
| 21 |
+
"force_upcast": true,
|
| 22 |
+
"in_channels": 3,
|
| 23 |
+
"latent_channels": 32,
|
| 24 |
+
"layers_per_block": 2,
|
| 25 |
+
"mid_block_add_attention": true,
|
| 26 |
+
"norm_num_groups": 32,
|
| 27 |
+
"out_channels": 3,
|
| 28 |
+
"patch_size": [
|
| 29 |
+
2,
|
| 30 |
+
2
|
| 31 |
+
],
|
| 32 |
+
"sample_size": 1024,
|
| 33 |
+
"up_block_types": [
|
| 34 |
+
"UpDecoderBlock2D",
|
| 35 |
+
"UpDecoderBlock2D",
|
| 36 |
+
"UpDecoderBlock2D",
|
| 37 |
+
"UpDecoderBlock2D"
|
| 38 |
+
],
|
| 39 |
+
"use_post_quant_conv": true,
|
| 40 |
+
"use_quant_conv": true
|
| 41 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:ca70d2202afe6415bdbcb8793ba8cd99fd159cfe6192381504d6c4d3036e0f04
|
| 3 |
+
size 168120878
|
verification.json
ADDED
|
@@ -0,0 +1,18 @@
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|
| 1 |
+
{
|
| 2 |
+
"global_step": 600,
|
| 3 |
+
"offline_reload": true,
|
| 4 |
+
"scheduler": {
|
| 5 |
+
"num_train_timesteps": 1000,
|
| 6 |
+
"stochastic_sampling": false,
|
| 7 |
+
"use_dynamic_shifting": true
|
| 8 |
+
},
|
| 9 |
+
"smoke_guidance_scale": 4.0,
|
| 10 |
+
"smoke_image": "smoke_512.png",
|
| 11 |
+
"smoke_image_size": [
|
| 12 |
+
512,
|
| 13 |
+
512
|
| 14 |
+
],
|
| 15 |
+
"smoke_seed": 0,
|
| 16 |
+
"smoke_steps": 4,
|
| 17 |
+
"strict_transformer_load": true
|
| 18 |
+
}
|