metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
3D Sketchfab, A low-angle view of a brown military tank on a bright yellow
background. The tank has a red number "88" on the side of it. There is a
black X on the top of the tank. There are two black wheels on the bottom
of it and a black stripe on the right side of the front of the left side
of this tank.
output:
url: images/S1.png
- text: >-
3D Sketchfab, An eye-level view of a small red building with a green sign
on the front of it. The building is surrounded by a small patch of brown
dirt. There is a brown roof on the right side of the building and a red
door on the left side. There are small green plants on the ground around
the building. A black telephone pole is in the center of the image. A
white dish is on the roof of the house.
output:
url: images/S2.png
- text: >-
3D Sketchfab, a vibrant orange box is adorned with a fish sculpture. The
fish sculpture is a vibrant shade of blue, with a striped pattern on its
body. It is positioned on a light purple background, with the fish head
facing towards the right side of the frame. A knife with a black handle is
positioned to the left of the fish sculpture, positioned on top of the
box.
output:
url: images/S3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 3D Sketchfab
license: creativeml-openrail-m
Castor-3D-Sketchfab-Flux-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/Castor-3D-Sketchfab-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 | 23 & 1.8k |
Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 39
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/Castor-3D-Sketchfab-Flux-LoRA"
trigger_word = "3D Sketchfab" # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
App File Structure
/project-root/
βββ .gitattributes
βββ README.md
βββ app.py
βββ pythonproject.py
Trigger words π§¨
You should use 3D Sketchfab
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.