Instructions to use tomzraz/RTSTYLX_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tomzraz/RTSTYLX_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tomzraz/RTSTYLX_2") prompt = "RTSTYLX.2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from tomzraz/RTSTYLX_2: direct link, hf CLI and curl.
- Browser
- Download file 725 Bytes
-
https://huggingface.co/tomzraz/RTSTYLX_2/resolve/main/README.md
- Command line
-
hf download hf://tomzraz/RTSTYLX_2/README.md
-
curl -L -o README.md https://huggingface.co/tomzraz/RTSTYLX_2/resolve/main/README.md
725 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: undefined
instance_prompt: RTSTYLX.2
license: other
RTSTYLX_2
Model description
LoRA stylu storyboardowego RTSTYLX_2 — półrealistyczny styl reklamowy, czyste linie i miękkie kolory, przeznaczony do generowania kadrów typu storyboard / illustration.
Trigger words
You should use RTSTYLX.2 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-krea-trainer.