Instructions to use hellokn/freeehand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hellokn/freeehand 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("hellokn/freeehand") prompt = "freeehand, a surreal scene in a dense green jungle. A woman in a white wedding dress is sitting at a small table. A waiter is a tall cat in a black tuxedo and is standing on two legs among the giant leaves, holding a blue cloche. Flat colors, bold lines, 70s psychedelic aesthetic." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
freeehand
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- freeehand, a surreal scene in a dense green jungle. A woman in a white wedding dress is sitting at a small table. A waiter is a tall cat in a black tuxedo and is standing on two legs among the giant leaves, holding a blue cloche. Flat colors, bold lines, 70s psychedelic aesthetic.
Trigger words
You should use freeehand to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for hellokn/freeehand
Base model
black-forest-labs/FLUX.1-dev