Instructions to use Pandluru/Flux-Midjourney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pandluru/Flux-Midjourney 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("Pandluru/Flux-Midjourney") prompt = "MJ v6, A portrait of a Bird in the dark, illuminated by an intense yellow light from above, with a soft blue gradient background. This scene evokes a sense of mystery or contemplation, highlighting the beauty of the subjects features against the contrasting backdrop, lens glossy effect, high contrast, star bokeh " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
black-forest-labs

- Prompt
- MJ v6, A portrait of a Bird in the dark, illuminated by an intense yellow light from above, with a soft blue gradient background. This scene evokes a sense of mystery or contemplation, highlighting the beauty of the subjects features against the contrasting backdrop, lens glossy effect, high contrast, star bokeh

- Prompt
- MJ v6, Portrait photography of a woman in a blue dress, in the style of unsplash photography, street photography, dark green background and butterfly tatto on her chest--ar 47:64 --v 6.0 --style raw
Trigger words
You should use LoRA to trigger the image generation.
You should use FLUX to trigger the image generation.
You should use Text-to-Image to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Pandluru/Flux-Midjourney
Base model
black-forest-labs/FLUX.1-dev