Instructions to use subhodipdeti/flux_lora_subhodip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use subhodipdeti/flux_lora_subhodip 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("subhodipdeti/flux_lora_subhodip") prompt = "[trigger] with red hair, playing chess at the park, bomb going off in the background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flux_lora_subhodip
Model trained with AI Toolkit by Ostris

- Prompt
- [trigger] with red hair, playing chess at the park, bomb going off in the background

- Prompt
- [trigger] holding a coffee cup, in a beanie, sitting at a cafe

- Prompt
- [trigger] is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini

- Prompt
- [trigger] showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background

- Prompt
- [trigger] building a log cabin in the snow covered mountains

- Prompt
- [trigger] playing the guitar, on stage, singing a song, laser lights, punk rocker

- Prompt
- [trigger] with a beard, building a chair, in a wood shop

- Prompt
- photo of a [trigger], white background, medium shot, modeling clothing, studio lighting, white backdrop

- Prompt
- [trigger] holding a sign that says, 'this is a sign'

- Prompt
- [trigger], in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle
Trigger words
You should use 4d4m luc3k to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
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('subhodipdeti/flux_lora_subhodip', weight_name='flux_lora_subhodip.safetensors')
image = pipeline('[trigger] with red hair, playing chess at the park, bomb going off in the background').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for subhodipdeti/flux_lora_subhodip
Base model
black-forest-labs/FLUX.1-dev