Instructions to use EvilEngine/vae-ft-mse-840000-ema-pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EvilEngine/vae-ft-mse-840000-ema-pruned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EvilEngine/realcartoon3d_v17", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EvilEngine/vae-ft-mse-840000-ema-pruned") prompt = "masterpiece, best quality, 1girl, solo, sitting, blonde hair, short hair, (curly hair:0.7), red eyes, looking at viewer, parted lips, white shirt, pants, hand on own stomach, arm at side, midriff, indoors, sunset, dappled sunlight, (window shade:1.6), backlighting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- af70eae9c03602d0009920fcc0c389adcaec8b8e280ac6709006eb5253700649
- Size of remote file:
- 335 MB
- SHA256:
- 735e4c3a447a3255760d7f86845f09f937809baa529c17370d83e4c3758f3c75
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