Instructions to use lavangajula99/32_bit_mint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lavangajula99/32_bit_mint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lavangajula99/32_bit_mint") prompt = "32_bit_mint" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 32_bit_mint.safetensors
Browse files- 32_bit_mint.safetensors +3 -0
32_bit_mint.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2dda0b9759c13c240b35fa591d29f29d9cc3244df0f2bb2c7b8bcd0f5592cd65
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size 126670744
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