Sync clean ModelOpt weights from BBuf/flux2-dev-modelopt-fp8-sglang-transformer
Browse files- README.md +42 -0
- config.json +50 -0
- diffusion_pytorch_model-00001-of-00007.safetensors +3 -0
- diffusion_pytorch_model-00002-of-00007.safetensors +3 -0
- diffusion_pytorch_model-00003-of-00007.safetensors +3 -0
- diffusion_pytorch_model-00004-of-00007.safetensors +3 -0
- diffusion_pytorch_model-00005-of-00007.safetensors +3 -0
- diffusion_pytorch_model-00006-of-00007.safetensors +3 -0
- diffusion_pytorch_model-00007-of-00007.safetensors +3 -0
- diffusion_pytorch_model.safetensors.index.json +724 -0
README.md
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---
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language:
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- en
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library_name: sglang
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base_model: black-forest-labs/FLUX.2-dev
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tags:
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- sglang
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- diffusion
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- modelopt
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- fp8
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- transformer
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---
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# flux2-dev-modelopt-fp8-sglang-transformer
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This repository contains the SGLang-native ModelOpt FP8 transformer override for `black-forest-labs/FLUX.2-dev`.
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It is intended to be used with SGLang Diffusion through `--transformer-path` while keeping the base model separate:
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```bash
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sglang generate \
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--model-path black-forest-labs/FLUX.2-dev \
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--transformer-path lmsys/flux2-dev-modelopt-fp8-sglang-transformer \
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--prompt "A cinematic scene with detailed lighting" \
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--save-output
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```
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## Contents
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The repository is intentionally minimal and contains only:
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- `config.json`
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- `*.safetensors` weight shard files
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- `*.safetensors.index.json` when the checkpoint is sharded
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Validation images, benchmark outputs, profiler traces, and conversion scratch artifacts are not stored in this model repository.
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## Notes
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- Quantization config is stored in `config.json` with `quant_method=modelopt` and `quant_algo=FP8`.
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- Use this checkpoint with an SGLang version that includes diffusion ModelOpt support for the corresponding model family.
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- The original base model license and usage terms still apply.
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config.json
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{
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"_class_name": "Flux2Transformer2DModel",
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"_diffusers_version": "0.37.0",
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"_name_or_path": "/root/.cache/huggingface/hub/models--black-forest-labs--FLUX.2-dev/snapshots/26afe3a78bb242c0a8bb181dcc8937bb16e5c66c/transformer",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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32,
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32,
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32,
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32
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],
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"eps": 1e-06,
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"guidance_embeds": true,
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"in_channels": 128,
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"joint_attention_dim": 15360,
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"mlp_ratio": 3.0,
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"num_attention_heads": 48,
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"num_layers": 8,
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"num_single_layers": 48,
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| 20 |
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"out_channels": null,
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"patch_size": 1,
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"rope_theta": 2000,
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| 23 |
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"timestep_guidance_channels": 256,
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"quantization_config": {
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"config_groups": {
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"group_0": {
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"input_activations": {
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"dynamic": false,
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"num_bits": 8,
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"type": "float"
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},
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"weights": {
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"dynamic": false,
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"num_bits": 8,
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"type": "float"
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},
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"targets": [
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"Linear"
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]
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}
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},
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"ignore": [],
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"producer": {
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"name": "modelopt",
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"version": "0.42.0"
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},
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"quant_algo": "FP8",
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"quant_method": "modelopt"
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}
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}
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diffusion_pytorch_model-00001-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a2519f8b3cc367cf1d59b9f53f9d02282258a05c846fe5c173db39c67fffcfc
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size 5707951624
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diffusion_pytorch_model-00002-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:13e559f884ea1f433b0574946e1766dbf5c2108040d368837e2a9726f651d82d
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size 4945107048
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diffusion_pytorch_model-00003-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:df68a5c6a0d2408d2cf4479b28f188666d3b09d223d4d470a5ebcd42c14c0e5f
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size 4907350984
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diffusion_pytorch_model-00004-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6b04ffc71253071c0b51293ce0ea8fc0428cba3019629dcc90f8b1205d0aa1c
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size 4907351048
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diffusion_pytorch_model-00005-of-00007.safetensors
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oid sha256:82e4fe391d86561d03ffd6a37f4ad55de3e64adba1598870411d741abccc83c0
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size 4907351048
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diffusion_pytorch_model-00006-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d991b62a209b118a18141a95b540442689ee425b3c733634f5fca52c1c3e66c
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size 4907351048
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diffusion_pytorch_model-00007-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:991f76cf23d78385eff32dd6521d490f1062096a165d3b70c1bba9780ce6d7a0
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size 2756453024
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diffusion_pytorch_model.safetensors.index.json
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