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#2
by
sharpenb
- opened
- README.md +5 -2
- config.json +1 -1
- model/optimized_model.pkl +2 -2
- model/smash_config.json +1 -1
- plots.png +0 -0
README.md
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![image info](./plots.png)
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## Setup
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## License
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We follow the same license as the original model. Please check the license of the original model dreamlike-art
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## Want to compress other models?
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![image info](./plots.png)
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**Important remarks:**
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- The quality of the model output might slightly vary compared to the base model. There might be minimal quality loss.
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- These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json and are obtained after a hardware warmup. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...).
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- You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
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## Setup
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## License
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We follow the same license as the original model. Please check the license of the original model dreamlike-art/dreamlike-photoreal-2.0 before using this model.
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## Want to compress other models?
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config.json
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{"pruners": "None", "pruning_ratio": 0.0, "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.005, "compilers": "['diffusers2']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "save_dir": "/ceph/hdd/staff/charpent/models/.models/optimized_model", "batch_size": 1, "max_batch_size": 1, "image_height": 512, "image_width": 512, "version": "1.5", "task": "txt2img", "model_name": "dreamlike-art/dreamlike-photoreal-2.0", "weight_name": "None", "save_load_fn": "stable_fast"}
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{"pruners": "None", "pruning_ratio": 0.0, "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.005, "compilers": "['diffusers2', 'tiling', 'step_caching']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "save_dir": "/ceph/hdd/staff/charpent/models/.models/optimized_model", "batch_size": 1, "max_batch_size": 1, "image_height": 512, "image_width": 512, "version": "1.5", "task": "txt2img", "model_name": "dreamlike-art/dreamlike-photoreal-2.0", "weight_name": "None", "save_load_fn": "stable_fast"}
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model/optimized_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:be2ec997ea205f30e412dc9836d1f59e7c88fa5c4c69c1fd0f2479f91d8b3b3d
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size 2135158297
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model/smash_config.json
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{"api_key": "pruna_c4c77860c62a2965f6bc281841ee1d7bd3", "verify_url": "http://johnrachwan.pythonanywhere.com", "smash_config": {"pruners": "None", "pruning_ratio": 0.0, "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.005, "compilers": "['diffusers2']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "cache_dir": "/ceph/hdd/staff/charpent/.cache/models", "save_dir": "/ceph/hdd/staff/charpent/models/.models/optimized_model", "batch_size": 1, "max_batch_size": 1, "image_height": 512, "image_width": 512, "version": "1.5", "task": "txt2img", "model_name": "dreamlike-art/dreamlike-photoreal-2.0", "weight_name": "None", "save_load_fn": "stable_fast"}}
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{"api_key": "pruna_c4c77860c62a2965f6bc281841ee1d7bd3", "verify_url": "http://johnrachwan.pythonanywhere.com", "smash_config": {"pruners": "None", "pruning_ratio": 0.0, "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.005, "compilers": "['diffusers2', 'tiling', 'step_caching']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "cache_dir": "/ceph/hdd/staff/charpent/.cache/models", "save_dir": "/ceph/hdd/staff/charpent/models/.models/optimized_model", "batch_size": 1, "max_batch_size": 1, "image_height": 512, "image_width": 512, "version": "1.5", "task": "txt2img", "model_name": "dreamlike-art/dreamlike-photoreal-2.0", "weight_name": "None", "save_load_fn": "stable_fast"}}
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plots.png
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