Instructions to use dfgaga/any3-mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dfgaga/any3-mirror with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dfgaga/any3-mirror", torch_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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# Announcement
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I write a colab notebook to mirror this model to your huggingface account, you can backup, use, and share it with your friends, this will work for a meantime as long as i'm not resetting my token. you can check it here, all model is in safetensors.
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https://colab.research.google.com/github/Linaqruf/sd-notebook-collection/blob/main/Anything-V3-Mirroring.ipynb
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# Announcement
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(THIS IS NOT MY WORK, JUST A COPYPASTE OF THE MODEL WITH PERMISSION FOR USE, with gratitude to Linaqruf!)
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I write a colab notebook to mirror this model to your huggingface account, you can backup, use, and share it with your friends, this will work for a meantime as long as i'm not resetting my token. you can check it here, all model is in safetensors.
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https://colab.research.google.com/github/Linaqruf/sd-notebook-collection/blob/main/Anything-V3-Mirroring.ipynb
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