metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
handstick69, a human hand is holding two small stickers, each with the
words "you can do this!" written on them in black text. The left sticker
is pink, while the right sticker is yellow, with black text written on it.
Behind the hand, there is a plant with green leaves and a white tile
floor.
output:
url: images/H2.png
- text: >-
handstick69, A close-up view of a persons hand holding a sticker that
reads "You Rock" in black letters. The sticker is a light blue ice cream
with a smiley face on it. The persons nails are painted a vibrant red nail
color. The background is a beige polka dot pattern.
output:
url: images/H3.png
- text: >-
handstick69, A close-up view of a white sticker that reads "Stay" in black
letters on a white background. The sticker has a black outline of a
mountain, a cactus, a sun, and a house on the right side of the sticker.
There is a tree in the bottom right corner of the image. There are green
leaves in the background behind the sticker, and there is a clear blue sky
in the top right corner.
output:
url: images/H4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: handstick69
license: creativeml-openrail-m
Flux.1-Dev-Hand-Sticky-LoRA
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
Model description
prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA
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 | 17 & 1920 |
Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 20
Best Dimensions
- 768 x 1024 (Best)
- 1024 x 1024 (Default)
Setting Up
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 = "prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA"
trigger_word = "handstick69"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use handstick69
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.