Instructions to use foolmoron/uvwar-decimate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use foolmoron/uvwar-decimate with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("foolmoron/uvwar-decimate") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
images/Screenshot_1.png
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Git LFS Details
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sdxl_lora_Amiibo_Decimate.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3bfca887ef84ac65013bbb5488986b9e481cdfb4ae3369f373cbe8e6dc9d929
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size 170539756
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