Instructions to use Jonjew/MelissaRauch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MelissaRauch 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("Jonjew/MelissaRauch") prompt = "The image is a portrait of Melissa_Rauch woman posing for a photo ,She has blonde long hair,She is wearing a yellow sweater, she is outside in the snow,She has a smile on his face, Upper body photo. She is looking at viewer. Amateur photography" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Melissa Rauch - Flux LoRA

- Prompt
- The image is a portrait of Melissa_Rauch woman posing for a photo ,She has blonde long hair,She is wearing a yellow sweater, she is outside in the snow,She has a smile on his face, Upper body photo. She is looking at viewer. Amateur photography
Model description
FROM https://civitai.com/models/767217/melissa-rauch-flux-lora?modelVersionId=858118
Trigger Melissa_Rauch
Trigger words
You should use Melissa_Rauch to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/MelissaRauch
Base model
black-forest-labs/FLUX.1-dev