Instructions to use sazyou-roukaku/BracingEvoMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sazyou-roukaku/BracingEvoMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sazyou-roukaku/BracingEvoMix", 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
Commit ·
016d34e
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Parent(s): 4b5e9cd
Upload BracingEvoMix_Fast_v1.safetensors
Browse files
BracingEvoMix_Fast_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e32c34258c11cc646453468c637f3a6bcb0a62b0f3fccd94af251c4665511a64
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size 2132626066
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