Flux LoRA Collections
Collection
Flux THE LoRA • 131 items • Updated • 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/3D-Render-Flux-LoRA")
prompt = "3D Portrait, An eye-level perspective, a close-up of a young childs face, is depicted in a multi-colored, monochromatic fashion. The childs eyes are a piercing blue, and her hair is a vibrant shade of green, with a mix of brown and orange highlights. Her hair is pulled back in a ponytail, adding a pop of color to the scene. She is wearing a white turtleneck, and the background is a pale purple. Her eyebrows are a darker shade of brown, while her lips are a lighter shade of blue. Her nose is adorned with a tiny red dot."
image = pipe(prompt).images[0]3D-Render-Flux-LoRA
- Prompt
- 3D Portrait, An eye-level perspective, a close-up of a young childs face, is depicted in a multi-colored, monochromatic fashion. The childs eyes are a piercing blue, and her hair is a vibrant shade of green, with a mix of brown and orange highlights. Her hair is pulled back in a ponytail, adding a pop of color to the scene. She is wearing a white turtleneck, and the background is a pale purple. Her eyebrows are a darker shade of brown, while her lips are a lighter shade of blue. Her nose is adorned with a tiny red dot.
- Prompt
- 3D Portrait, A detailed close-up of a cats face, adorned with a vibrant pink hue. The cats whiskers, adding a pop of color to the scene. The background is a deep purple, creating a stark contrast to the cats fur. The cats eyes are open, as if they are looking to the right. The ears of the cat are pointed, adding to the overall composition of the image.
- Prompt
- 3D Portrait, 3d render of a Hamburger, in the style of light magenta and light green, macro lens, light purple and light gold, pastelcore, characterful portraits, zbrush, 3d render, unreal engine
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/3D-Render-Flux-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 | 27 & 3000 |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 19 [ Hi-RES ]
Best Dimensions
- 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/3D-Render-Flux-LoRA"
trigger_word = "3D Portrait, 3d render"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Data source
- https://freeflo.ai/
Trigger words
You should use 3D Portrait, 3d render to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for prithivMLmods/3D-Render-Flux-LoRA
Base model
black-forest-labs/FLUX.1-dev