Instructions to use pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Pruna AI
How to use pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro with Pruna AI:
from pruna_pro import PrunaProModel pip install -U diffusers transformers accelerate
from pruna_pro import PrunaProModel import torch # switch to "mps" for apple devices pipe = PrunaProModel.from_pretrained("pruna_pro-test/test-save-tiny-stable-diffusion-pipe-smashed-pro", 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
- Draw Things
- DiffusionBee
Add files using upload-large-folder tool
Browse files- README.md +1 -0
- smash_config.json +1 -0
README.md
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@@ -67,6 +67,7 @@ The compression configuration of the model is stored in the `smash_config.json`
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"img2img_denoise": false,
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"ipex_llm": false,
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"llm_int8": false,
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"pab": false,
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"padding_pruning": false,
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"periodic": false,
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"img2img_denoise": false,
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"ipex_llm": false,
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"llm_int8": false,
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"moe_kernel_tuner": false,
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"pab": false,
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"padding_pruning": false,
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"periodic": false,
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smash_config.json
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"img2img_denoise": false,
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"ipex_llm": false,
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"llm_int8": false,
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"pab": false,
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"padding_pruning": false,
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"periodic": false,
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"img2img_denoise": false,
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"ipex_llm": false,
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"llm_int8": false,
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"moe_kernel_tuner": false,
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"pab": false,
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"padding_pruning": false,
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"periodic": false,
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