Instructions to use Rkb87del/bluyel2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rkb87del/bluyel2 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("Rkb87del/bluyel2") prompt = "BluYel2, a dog in a park --d 100" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
BluYel2
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- BluYel2, a dog in a park --d 100

- Prompt
- BluYel2, a person sitting by a window --d 100

- Prompt
- BluYel2, a boat on a lake --d 100

- Prompt
- BluYel2, a cup of coffee on a table --d 100
Trigger words
You should use BluYel2, 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.
- Downloads last month
- 12
Model tree for Rkb87del/bluyel2
Base model
black-forest-labs/FLUX.1-dev