Instructions to use Masterjp123/Furation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Masterjp123/Furation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Masterjp123/Furation", 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
Commit ·
b799ab7
1
Parent(s): c1a098a
Upload 2 files
Browse filesOOO, added fixed MODELS... Fun fact I named the model "Furation" becuase it could be a mix of Fur and Frustration, which is what I felt trying to find good models for it.
FurationV1-Fixed-Fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0bf52029b72d1b7b1031bb08f269a3ce5e0ab01928aaf6ce49e94ee42ce6eb0
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size 2132625894
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FurationV1-Fixed.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6b272d4d3ed4ed68e1b7c0dc693f226706a7bb4f0c3782af58d4e19ad8c77d1
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size 5672764414
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