Instructions to use pixologyds/xjyo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pixologyds/xjyo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pixologyds/xjyo") prompt = "wide and low angle, cinematic, fashion photography. xjyo sitting on floor wearing a full size white t-shirt with big letters \\\"Jyothika\\\" , indigo jeans, nice red covered high heels and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xjyo-flux-lora:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/00000-2031631496.png
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Git LFS Details
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xjyo-flux-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f6b48870c2098c373057e3dd102f04808583b80d92fe500b0bf86446b93768c
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size 171969416
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