Instructions to use ManyWayne/REALDETAILS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManyWayne/REALDETAILS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ManyWayne/REALDETAILS") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- REALDETAILS.safetensors +3 -0
- images/ZIT.jpg +3 -0
REALDETAILS.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:35b580749eb814b1b190ff43df5b8c938811475cd910986ba9d956a5ec796489
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size 170127768
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images/ZIT.jpg
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Git LFS Details
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