Instructions to use vansonel/Mia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vansonel/Mia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("baidu/ERNIE-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("vansonel/Mia") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload Mia14.safetensors
Browse files- Mia14.safetensors +3 -0
Mia14.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f441803a9af2def7877a08ba8627ac5e5d12e41329d65cb22c1027cbbd9a4bef
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size 368695676
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