Instructions to use Borzzo/uki-loras2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Borzzo/uki-loras2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Borzzo/uki-loras2") 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
Commit History
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add aiko persona lora (diffusers naming)
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add curvy helper lora
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add sagging helper lora
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add anatomy helper lora
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add bloomgirls realism lora (converted from kohya)
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add bloom helper lora
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add lowres helper lora
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add breast helper lora
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add filterbypass patch as-is for testing
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add realism helper lora in diffusers key naming
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add pov helper lora in diffusers key naming
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add nsfw helper lora in diffusers key naming
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add diffusers-format key naming for wavespeed
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Add uki-loras2.safetensors
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initial commit
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