Instructions to use amanfor18/Manisha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amanfor18/Manisha 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("amanfor18/Manisha") prompt = "ManishaKoirala" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from amanfor18/Manisha: direct link, hf CLI and curl.
- Browser
- Download file 530 Bytes
-
https://huggingface.co/amanfor18/Manisha/resolve/main/README.md
- Command line
-
hf download hf://amanfor18/Manisha/README.md
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curl -L -o README.md https://huggingface.co/amanfor18/Manisha/resolve/main/README.md
530 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: ManishaKoirala
output:
url: images/d7afdec9523fd36cfbe3ec6e80cfba32_high.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ManishaKoirala
license: unknown
Manisha

- Prompt
- ManishaKoirala
Trigger words
You should use ManishaKoirala to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.