Instructions to use tuwonga/takeON_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/takeON_v2 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_v2", 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
- Xet hash:
- 89ff37d3f11aeec1b63f6ab63ceffe2f1550d780acddb6d4f5a8480bbb5f471d
- Size of remote file:
- 2.13 GB
- SHA256:
- bddc1fae3fcb98a6f8347e82eb2a5f8da1eb0de5fbfb3598fea9228c69769d1b
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