Instructions to use tuwonga/takeON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/takeON with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tuwonga/takeON", 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
- Local Apps
- Draw Things
- DiffusionBee
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### takeON
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This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from 80s music video **Take on me** from
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_Download the ckpt file from "files and versions" tab into the stable diffusion models folder of your web-ui of choice._
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### takeON
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This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from 80s music video **Take on me** (from A-HA band). Use the token **_takeON_** in your prompts to use the style.
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_Download the ckpt file from "files and versions" tab into the stable diffusion models folder of your web-ui of choice._
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