Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
stable-diffusion-xl-turbo
dreamshaper
Instructions to use orrinj/janeycatbase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use orrinj/janeycatbase2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-xl-turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("orrinj/janeycatbase2") prompt = "ds_ja_ct_1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload janeycatbase2.safetensors
Browse files
janeycatbase2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1661ff386f32e181fbdd82a4970bba84f60c30c35a2d1db28fffc522ac1e27c2
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