Instructions to use DevonIT/hyd7150mdl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DevonIT/hyd7150mdl 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("DevonIT/hyd7150mdl") prompt = "A HYUNDAI HYD-7150 (hyd7150mdl) model." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
hyd7150mdl
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- A HYUNDAI HYD-7150 (hyd7150mdl) model.

- Prompt
- Presents the HYUNDAI HYD-7150 (hyd7150mdl) chainsaw in an upright position, showing the full side profile of the tool with a white background.

- Prompt
- A man is using the HYD-7150 (hyd7150mdl) chainsaw in an upright position, showing the full side profile of the tool.
Trigger words
You should use hyd7150mdl 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
- 6
Model tree for DevonIT/hyd7150mdl
Base model
black-forest-labs/FLUX.1-dev