Instructions to use Hoga2/Hogamy_draw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hoga2/Hogamy_draw 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("Hoga2/Hogamy_draw") prompt = "A man, style of TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: A man, style of TOK
output:
url: >-
images/workspace_trainsamples_773844113488446645_7273c39d-8132-4fae-a37b-f8b3d11401d4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Style of TOK
My draw

- Prompt
- A man, style of TOK
Trigger words
You should use Style of TOK to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.