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", 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
Commit History
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (7abb7cdae9e009b0f1181c904fad8159ba6b0a66) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>93dfae1
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Update README.md
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Update README.md
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Create README.md
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feat: upload Anything-V3-full.safetensors
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feat: upload Anything-V3-full-pruned
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feat: upload Anything-V3-full-pruned-fp16.safetensors
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feat: upload Anything-V3-full-pruned.safetensors
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initial commit
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