Text-to-Image
Diffusers
flux2
flux2-diffusers
image-to-image
simpletuner
safe-for-work
lora
template:sd-lora
standard
Instructions to use quzo/textf22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quzo/textf22 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.2-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("quzo/textf22") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Model card auto-generated by SimpleTuner
Verified signature33d70a4 -
Trained for 1 epochs and 1200 steps.
Verified signatureTrained with datasets ['text-embed-cache', 'emi-256', 'emi-crop-256', 'emi-512', 'emi-crop-512', 'emi-768', 'emi-crop-768', 'emi-1024', 'emi-crop-1024', 'emi-1440', 'emi-crop-1440'] Learning rate 0.0001, batch size 1, and 1 gradient accumulation steps. Trained with None prediction type and rescaled_betas_zero_snr=False Using 'trailing' timestep spacing. Base model: black-forest-labs/FLUX.2-dev VAE: black-forest-labs/FLUX.2-dev538857a -
Model card auto-generated by SimpleTuner
Verified signature0096b43 -
Trained for 0 epochs and 900 steps.
Verified signatureTrained with datasets ['text-embed-cache', 'emi-256', 'emi-crop-256', 'emi-512', 'emi-crop-512', 'emi-768', 'emi-crop-768', 'emi-1024', 'emi-crop-1024', 'emi-1440', 'emi-crop-1440'] Learning rate 0.0001, batch size 1, and 1 gradient accumulation steps. Trained with None prediction type and rescaled_betas_zero_snr=False Using 'trailing' timestep spacing. Base model: black-forest-labs/FLUX.2-dev VAE: black-forest-labs/FLUX.2-devf0734be -
Model card auto-generated by SimpleTuner
Verified signature9ca2117 -
Trained for 0 epochs and 600 steps.
Verified signatureTrained with datasets ['text-embed-cache', 'emi-256', 'emi-crop-256', 'emi-512', 'emi-crop-512', 'emi-768', 'emi-crop-768', 'emi-1024', 'emi-crop-1024', 'emi-1440', 'emi-crop-1440'] Learning rate 0.0001, batch size 1, and 1 gradient accumulation steps. Trained with None prediction type and rescaled_betas_zero_snr=False Using 'trailing' timestep spacing. Base model: black-forest-labs/FLUX.2-dev VAE: black-forest-labs/FLUX.2-dev98f8844 -
initial commit
Verified signature14461b3