Instructions to use tuwonga/dbluth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/dbluth 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/dbluth", 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
Upload dbluth.safetensors
Browse files- dbluth.safetensors +3 -0
dbluth.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b347d409904c82cd7ad06391762427af1b1e4f08227b4a72b85cca673666930
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size 2132625462
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