RobertML/edge-super-compile-08
By RobertML · ↓ 0 · ♥ 0 · Updated 2024-11-03
What's in this repo
This page lists the files in RobertML/edge-super-compile-08, 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 2024-11-03
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" appears to be placeholder or nonsensical text without a meaningful translation to any language. It doesn't contain translatable content in English or any other natural language.
If this is the actual README content for the model RobertML/edge-super-compile-08, the README may be incomplete or under construction. Would you like me to fetch the actual README from HuggingFace to get the real content?
Model info
diffusers
diffusers
onnx
safetensors
region:us
↓ 0
♥ 0
Created: 2024-11-03
Updated: 2024-11-03
View on Hugging FaceFiles (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/vae/config.json
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/model.onnx
ONNX
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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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