Instructions to use Rafacelis/fae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rafacelis/fae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HiDream-ai/HiDream-I1-Full", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rafacelis/fae") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 3 files
Browse files
generative-models-0.1.0.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:8cd2fe0b8f0c08df16fbe9a459b208c21240b01051a1171a12a18b55834ea864
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size 5436544
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images/vapor-wave-sunset-4k_1540751389-1536x864.jpg
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Git LFS Details
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sd_xl_turbo_1.0_fp16 (1).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e869ac7d6942cb327d68d5ed83a40447aadf20e0c3358d98b2cc9e270db0da26
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size 6938081905
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