Instructions to use tarfandoon/farshchian_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tarfandoon/farshchian_flux 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("tarfandoon/farshchian_flux") prompt = "Rumi,in gang style , behind the ocean , whith a whale in the space that he talking with rumi ! use FRSCHIAN style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("tarfandoon/farshchian_flux")
prompt = "Rumi,in gang style , behind the ocean , whith a whale in the space that he talking with rumi ! use FRSCHIAN style"
image = pipe(prompt).images[0]Mahmood Farshcian Paint Style
Use it On Replicate.

- Prompt
- Rumi,in gang style , behind the ocean , whith a whale in the space that he talking with rumi ! use FRSCHIAN style
Trigger words
You should use FRSCHIAN style to trigger the image generation.
Creating images using a diffusers
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('tarfandoon/farshchian_flux', weight_name='flux_lora.safetensors')
image = pipeline('Rumi,in gang style , behind the ocean , whith a whale in the space that he talking with rumi ! use FRSCHIAN style').images[0]
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Model tree for tarfandoon/farshchian_flux
Base model
black-forest-labs/FLUX.1-dev