Instructions to use Rand000mGuy/sylvia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/sylvia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/sylvia") prompt = "{" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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SylviaKB9.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b90f0c4b33d763a2d1774405bb02b99f54b020764ca859baf70f1dd301be8f36
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size 165770242
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images/c99748a4-7fd6-41ec-848c-4b8c9e37db44.png
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Git LFS Details
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