Flux LoRA Collections
Collection
Flux THE LoRA β’ 131 items β’ Updated β’ 33
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("prithivMLmods/Flux-Long-Toon-LoRA")
prompt = "Long toons, a close-up of a cartoon characters face is featured in a vibrant red backdrop. The characters head is adorned with a gray hoodie, a red t-shirt, and a pair of pink earbuds. His eyes, a nose, and mustache are adorned with tiny white dots, adding a pop of color to the scene. His hair is a mix of black and gray, while his ears are a darker shade of pink."
image = pipe(prompt).images[0]





The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
prithivMLmods/Flux-Long-Toon-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 | 25 & 3270 |
| Epoch | 18 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 15
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-Long-Toon-LoRA"
trigger_word = "Long toons"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
You should use Long toons 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