metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
ctoon, A cartoon drawing of a white cat with a black sunglasses around its
eyes. The cats eyes are squinted and the cats ears are a light pink color.
There are two yellow stars on the wall to the right of the cat.
output:
url: images/C1.png
- text: >-
ctoon, A cartoon drawing of a white penguin sitting on a red chair. The
penguin has a yellow beak and yellow feet. The background of the penguin
is a bright blue color.
output:
url: images/C4.png
- text: >-
ctoon, A cartoon drawing of a cat wearing sunglasses. The cat is facing
towards the left side of the image. It is holding a wine glass with wine
in it. There is a bottle of wine to the right of the cat. There are two
stars to the left of the animal. The background is a light beige color.
output:
url: images/C3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ctoon
license: creativeml-openrail-m
Flux.1-Dev-Ctoon-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-Ctoon-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 | 20 & 2700 |
Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 22
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-Ctoon-LoRA"
trigger_word = "ctoon"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use ctoon
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.