ONNX Model Zoo

RobertML/edge-super-compile-02

By RobertML · ↓ 0 · ♥ 0 · Updated 2024-10-31

What's in this repo

This page lists the files in RobertML/edge-super-compile-02, including model.onnx and more.

  • 7 ONNX models (.onnx files)
  • 711 files, including 229 .bias, 103 .weight, 12 .json, 11 .py, 7 .plan, 7 .onnx
  • Last updated 2024-10-31

ONNX files

File Size Download
onnx/down_blocks.0/model.onnx — Download
onnx/down_blocks.1/model.onnx — Download
onnx/down_blocks.2/model.onnx — Download
onnx/mid_block/model.onnx — Download
onnx/up_blocks.0/model.onnx — Download
onnx/up_blocks.1/model.onnx — Download
onnx/up_blocks.2/model.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

The text "Heban olla vogola" doesn't appear to be in a recognizable language that can be meaningfully translated to Chinese. It seems to be either placeholder text, gibberish, or text in a constructed/fictional language.

Could you verify the README content? You can check the actual README at the model page:

  • https://huggingface.co/RobertML/edge-super-compile-02

If you have the correct README content, please share it and I'll translate it to Chinese (Simplified) while preserving all code blocks, links, and markdown formatting.

Model info

diffusers
diffusers onnx safetensors region:us
↓ 0 ♥ 0

Created: 2024-10-31

Updated: 2024-10-31

View on Hugging Face

Files (711)

.gitattributes
.gitignore
.gitmodules
README.md
engine/down_blocks.0.plan
engine/down_blocks.1.plan
engine/down_blocks.2.plan
engine/mid_block.plan
engine/up_blocks.0.plan
engine/up_blocks.1.plan
engine/up_blocks.2.plan
loss_params.pth
models/newdream-sdxl-20/.gitattributes
models/newdream-sdxl-20/.gitignore
models/newdream-sdxl-20/README.md
models/newdream-sdxl-20/model_index.json
models/newdream-sdxl-20/scheduler/scheduler_config.json
models/newdream-sdxl-20/text_encoder/config.json
models/newdream-sdxl-20/text_encoder/model.safetensors
models/newdream-sdxl-20/text_encoder_2/config.json
models/newdream-sdxl-20/text_encoder_2/model.safetensors
models/newdream-sdxl-20/tokenizer/merges.txt
models/newdream-sdxl-20/tokenizer/special_tokens_map.json
models/newdream-sdxl-20/tokenizer/tokenizer_config.json
models/newdream-sdxl-20/tokenizer/vocab.json
models/newdream-sdxl-20/tokenizer_2/merges.txt
models/newdream-sdxl-20/tokenizer_2/special_tokens_map.json
models/newdream-sdxl-20/tokenizer_2/tokenizer_config.json
models/newdream-sdxl-20/tokenizer_2/vocab.json
models/newdream-sdxl-20/unet/config.json
models/newdream-sdxl-20/unet/diffusion_pytorch_model.safetensors
models/newdream-sdxl-20/vae/config.json
models/newdream-sdxl-20/vae/diffusion_pytorch_model.safetensors
onnx/down_blocks.0/model.onnx ONNX
onnx/down_blocks.1/model.onnx ONNX
onnx/down_blocks.2/model.onnx ONNX
onnx/mid_block/model.onnx ONNX
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onnx/up_blocks.0/onnx__MatMul_7610
onnx/up_blocks.0/onnx__MatMul_7611
onnx/up_blocks.0/onnx__MatMul_7619
onnx/up_blocks.0/onnx__MatMul_7620
onnx/up_blocks.0/onnx__MatMul_7621
onnx/up_blocks.0/onnx__MatMul_7622
onnx/up_blocks.0/onnx__MatMul_7623
onnx/up_blocks.0/onnx__MatMul_7624
onnx/up_blocks.0/onnx__MatMul_7632
onnx/up_blocks.0/onnx__MatMul_7633
onnx/up_blocks.0/onnx__MatMul_7634
onnx/up_blocks.0/onnx__MatMul_7635
onnx/up_blocks.0/onnx__MatMul_7643
onnx/up_blocks.0/onnx__MatMul_7644
onnx/up_blocks.0/onnx__MatMul_7645
onnx/up_blocks.0/onnx__MatMul_7646
onnx/up_blocks.0/onnx__Mul_6903
onnx/up_blocks.0/onnx__Mul_6905
onnx/up_blocks.0/onnx__Mul_6907
onnx/up_blocks.0/onnx__Mul_7151
onnx/up_blocks.0/onnx__Mul_7153
onnx/up_blocks.0/onnx__Mul_7155
onnx/up_blocks.0/onnx__Mul_7399
onnx/up_blocks.0/onnx__Mul_7401
onnx/up_blocks.0/onnx__Mul_7403
onnx/up_blocks.0/resnets.0.conv1.bias
onnx/up_blocks.0/resnets.0.conv1.weight
onnx/up_blocks.0/resnets.0.conv2.bias
onnx/up_blocks.0/resnets.0.conv2.weight
onnx/up_blocks.0/resnets.0.conv_shortcut.bias
onnx/up_blocks.0/resnets.0.conv_shortcut.weight
onnx/up_blocks.0/resnets.0.time_emb_proj.bias
onnx/up_blocks.0/resnets.0.time_emb_proj.weight
onnx/up_blocks.0/resnets.1.conv1.bias
onnx/up_blocks.0/resnets.1.conv1.weight
onnx/up_blocks.0/resnets.1.conv2.bias
onnx/up_blocks.0/resnets.1.conv2.weight
onnx/up_blocks.0/resnets.1.conv_shortcut.bias
onnx/up_blocks.0/resnets.1.conv_shortcut.weight
onnx/up_blocks.0/resnets.1.time_emb_proj.bias
onnx/up_blocks.0/resnets.1.time_emb_proj.weight
onnx/up_blocks.0/resnets.2.conv1.bias
onnx/up_blocks.0/resnets.2.conv1.weight
onnx/up_blocks.0/resnets.2.conv2.bias
onnx/up_blocks.0/resnets.2.conv2.weight
onnx/up_blocks.0/resnets.2.conv_shortcut.bias
onnx/up_blocks.0/resnets.2.conv_shortcut.weight
onnx/up_blocks.0/resnets.2.time_emb_proj.bias
onnx/up_blocks.0/resnets.2.time_emb_proj.weight
onnx/up_blocks.0/upsamplers.0.conv.bias
onnx/up_blocks.0/upsamplers.0.conv.weight
onnx/up_blocks.1/model.onnx ONNX
onnx/up_blocks.2/model.onnx ONNX
pyproject.toml
src/assets/SDXL_Cache_Diffusion_Img.png
src/assets/sdxl_cache.png
src/cache_diffusion/cachify.py
src/cache_diffusion/module.py
src/cache_diffusion/utils.py
src/loss.py
src/main.py
src/pipe/config.py
src/pipe/deploy.py
src/pipe/models/sd3.py
src/pipe/models/sdxl.py
src/pipe/utils.py
src/pipeline.py
uv.lock

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