Instructions to use AINovice2005/Sana_600M_ControlNet_HED-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AINovice2005/Sana_600M_ControlNet_HED-smashed with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AINovice2005/Sana_600M_ControlNet_HED-smashed", 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 AINovice2005/Sana_600M_ControlNet_HED-smashed with Pruna AI:
from pruna import PrunaModel pip install -U diffusers transformers accelerate
from pruna import PrunaModel import torch # switch to "mps" for apple devices pipe = PrunaModel.from_pretrained("AINovice2005/Sana_600M_ControlNet_HED-smashed", 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 Settings
- Draw Things
- DiffusionBee
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library_name: diffusers
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tags:
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- pruna-ai
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---
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# Model Card for AINovice2005/Sana_600M_ControlNet_HED-smashed
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library_name: diffusers
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tags:
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- pruna-ai
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license: apache-2.0
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base_model:
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- Efficient-Large-Model/Sana_600M_512px
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# Model Card for AINovice2005/Sana_600M_ControlNet_HED-smashed
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