Instructions to use WRATHGODDESS/zing_style_anima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WRATHGODDESS/zing_style_anima with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WRATHGODDESS/zing_style_anima") prompt = "<lora:z-iiing(zing)anima1.0.TH_trained:1.4>, z-iiing(zing)π, " 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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tags:
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widget:
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worst quality, low quality, blurry, jpeg artifacts, lowres, stomach bulge,
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two-tone hair, mosaic censoring, censored, bar censor, monochrome,
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greyscale,
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base_model:
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instance_prompt: z-iiing(zing)π
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# z-iiing(zing)
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## Download model
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[Download](/WRATHGODDESS/zing_style_anima/tree/main) them in the Files & versions tab.
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: >-
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worst quality, low quality, blurry, jpeg artifacts, lowres, stomach bulge,
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two-tone hair, mosaic censoring, censored, bar censor, monochrome,
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greyscale,
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base_model:
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- circlestone-labs/Anima
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instance_prompt: z-iiing(zing)π
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---
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# z-iiing(zing)
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## Download model
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[Download](/WRATHGODDESS/zing_style_anima/tree/main) them in the Files & versions tab.
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