Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use slodev/archer_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use slodev/archer_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("slodev/archer_LoRA") prompt = "a photo in the style of TOK " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload LoRA weights file
Browse files
pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6def3b041a5ddfaf36af497417e3a72d82175d30c50a5c962a1c9db539cb8001
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size 23390424
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