Instructions to use uhd1238879/dishapatani2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uhd1238879/dishapatani2 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("uhd1238879/dishapatani2") prompt = "dishapatani2 at the beach --d 99" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
dishapatani2
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- dishapatani2 at the beach --d 99

- Prompt
- dishapatani2 breastfeeding a kid and looking down --d 99

- Prompt
- dishapatani2 winking at the camera and smiling --d 99
Trigger words
You should use dishapatani2 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 uhd1238879/dishapatani2
Base model
black-forest-labs/FLUX.1-dev