Instructions to use madbuda/madbuda_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madbuda/madbuda_v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("madbuda/madbuda_v3", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 322e69ab0b3e263e2945ccf099e82937b0fb631e88f1943901ea8edbc3ce388b
- Size of remote file:
- 6.94 GB
- SHA256:
- 030c8944838f0f9c761c870b617698c00cfc215c70087a0c76d21a8ff804f845
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