Instructions to use FallenIncursio/Animice_and_Doe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FallenIncursio/Animice_and_Doe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FallenIncursio/Animice_and_Doe", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Animice & Doe v1
Based on Anima v1
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Recommended Settings
- Positive prompt:
masterpiece, best quality, score_7. I recommend to promptlipsas well for the extra juice. - Negative prompt:
score_1, score_2, score_3, blurry, jpeg artifacts, lowres, worst quality, low quality, bad hands, bad anatomy, signature, watermark, censor, bar censor, mosaic censorship, mosaic censor, patreon logo, patreon username, twitter username, twitter logo, simple background, - CFG Scale: 5
- Sampler:
Euler a - Resolution:
832x1216or1216x832or1024x1024
- Downloads last month
- 55
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Model tree for FallenIncursio/Animice_and_Doe
Base model
circlestone-labs/Anima