Instructions to use monosome/Acolas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monosome/Acolas 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("monosome/Acolas") prompt = "acolas, eyebrows, white eyebrows" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Acolas
Model description
Acolas:兽人视觉小说《药:绝望的解决手段》中的角色,你可在itch.com平台找到这款游戏。
触发词:acolas
若想保持角色形象一致性,请在提示词中加入"eyebrows"和"white eyebrows"。
训练数据集不充分可能会导致画面爪子粘连等细节畸变问题,你可以使用高清放大 + 细节修复功能,或是其他你熟悉的处理方案来改善。
Acolas: a character from the FVN game Medicine: The Remedy of Sheer Desperation. You can find this game on itch.com.(PS: the current version only supports Chinese.)
trigger word: acolas
For better character consistency, please add "eyebrows" and "white eyebrows" to your prompt.
Insufficient datasets maybe result in distorted details like merged claws. Use upscale & detail restoration or other methods you are familiar with to solve these problems.
Trigger words
You should use acolas to trigger the image generation.
You should use eyebrows to trigger the image generation.
You should use white eyebrows to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for monosome/Acolas
Base model
nvidia/Cosmos-Predict2-2B-Text2Image