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
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README.md
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license: mit
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## Trigger words
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You should use `None` to trigger the image generation.
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license: mit
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## Source
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https://civitai.com/models/276082/vae-ft-mse-840000-ema-pruned-or-840000-or-840k-sd15-vae
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## Credit
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https://civitai.com/user/richyrich515
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## Trigger words
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You should use `None` to trigger the image generation.
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