Instructions to use Jason33r/loramelisamayers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jason33r/loramelisamayers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jason33r/loramelisamayers") prompt = "ASCII\u0000\u0000\u0000{\"aigc_info\":{\"aigc_label_type\":0,\"source_info\":\"dreamina\"},\"data\":{\"os\":\"web\",\"product\":\"dreamina\",\"exportType\":\"generation\",\"pictureId\":\"0\"},\"trace_info\":{\"originItemId\":\"7580013351770606866\"}}" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
melisa_mayers.lora

- Prompt
- ASCII{"aigc_info":{"aigc_label_type":0,"source_info":"dreamina"},"data":{"os":"web","product":"dreamina","exportType":"generation","pictureId":"0"},"trace_info":{"originItemId":"7580013351770606866"}}
Trigger words
You should use melisa_mayers to trigger the image generation.
Download model
Download them in the Files & versions tab.
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