Instructions to use aaronjmars/fwog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aaronjmars/fwog 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aaronjmars/fwog") prompt = "a photo of TOK, green field" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
fwog
Model trained with AI Toolkit by Ostris

- Prompt
- a photo of TOK, green field

- Prompt
- a photo of TOK, surprised

- Prompt
- a photo of TOK, sitting at a table with a plate of food in front of it
Trigger words
You should use a photo of TOK to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('leo5imon/fwog', weight_name='fwog')
image = pipeline('a photo of TOK, green field').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for aaronjmars/fwog
Base model
black-forest-labs/FLUX.1-schnell