Instructions to use glif-loradex-trainer/dham_dham_osteology2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/dham_dham_osteology2 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("glif-loradex-trainer/dham_dham_osteology2") prompt = "a robot in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
dham_osteology2
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user dham.

- Prompt
- a robot in the style of TOK

- Prompt
- pacman in the style of TOK

- Prompt
- a retro mac in the style of TOK

- Prompt
- pikachu in the style of TOK

- Prompt
- a salamander in the style of TOK

- Prompt
- a ghost in the style of TOK
Trigger words
You should use TOK to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/dham_dham_osteology2
Base model
black-forest-labs/FLUX.1-dev