Q-Series Sketch
Collection
Q(n) • 7 items • Updated • 1
How to use strangerzonehf/Thread-of-Art-Flux 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("strangerzonehf/Thread-of-Art-Flux")
prompt = "Thread of Art, A black and white sketch of a woman smoking a cigarette. The woman is wearing a white button up shirt, a black tie, and white pants. Her hair is pulled back in a ponytail, and she is wearing a pair of white gloves. Her left hand is raised in the air, while her right hand is resting on her hip. Her mouth is slightly open, as if she is smoking. She has a black belt around her waist, and a white jacket on her right. The background is a plain white."
image = pipe(prompt).images[0]



Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---|---|---|---|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat & Steps | 20 & 3200 |
| Epoch | 25 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 26
| Dimensions | Aspect Ratio | Recommendation |
|---|---|---|
| 1280 x 832 | 3:2 | Best |
| 1024 x 1024 | 1:1 | Default |
import torch
from pipelines import DiffusionPipeline
base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "strangerzonehf/Thread-of-Art-Flux"
trigger_word = "Thread of Art"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
You should use Thread of Art to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
black-forest-labs/FLUX.1-dev