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 Settings
- Draw Things
- DiffusionBee
Upload fxhash_034.ckpt
Browse files- fxhash_034.ckpt +3 -0
fxhash_034.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:931c1470b2927e6b657fd131f7e895366acd541b3ba5fe6abf9826037e34a8b0
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size 3851906639
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