Instructions to use ChandrilBasu/Nov24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Nov24 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("ChandrilBasu/Nov24") prompt = "photo of chandril" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from ChandrilBasu/Nov24: direct link, hf CLI and curl.
- Browser
- Download file 730 Bytes
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https://huggingface.co/ChandrilBasu/Nov24/resolve/main/README.md
- Command line
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hf download hf://ChandrilBasu/Nov24/README.md
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curl -L -o README.md https://huggingface.co/ChandrilBasu/Nov24/resolve/main/README.md
730 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: photo of chandril
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
Nov24
Model description
Trigger words
You should use photo of chandril to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.