Instructions to use koikitsune/fal-export with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use koikitsune/fal-export 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("koikitsune/fal-export") prompt = "CoyFelder" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from koikitsune/fal-export: direct link, hf CLI and curl.
- Browser
- Download file 849 Bytes
-
https://huggingface.co/koikitsune/fal-export/resolve/main/README.md
- Command line
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hf download hf://koikitsune/fal-export/README.md
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curl -L -o README.md https://huggingface.co/koikitsune/fal-export/resolve/main/README.md
849 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: CoyFelder
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
fal export
Model description
CoyFelder is a photorealistic FLUX LoRA model trained on Coy Felder. Best used with warm, cinematic lighting and soft textures.
Trigger words
You should use CoyFelder 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.