Instructions to use huemin/fxhash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huemin/fxhash with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("huemin/fxhash", 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
add checkpoint
#1
by nousr - opened
- .gitattributes +1 -0
- fxhash_025_026.ckpt +3 -0
.gitattributes
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fxhash_025_026.ckpt filter=lfs diff=lfs merge=lfs -text
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fxhash_025_026.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e7173f53ab0dd31639dccc8d273b51c308e66ef10d807a909e710c78de5f19a
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size 3851908905
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