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F-22 Raptor V1 Flux Dev - v1.0

28
282
35
7
Verified:
SafeTensor
Type
LoRA
Stats
36
0
Reviews
Published
Nov 1, 2024
Base Model
Flux.1 D
Training
Steps: 2,250
Epochs: 15
Trigger Words
F-22 Raptor
Aircraft
Hash
AutoV2
357A9D6C7C
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TheAIking's Avatar
TheAIking
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Model Description for V1 Release

Version V1.0 - Official Release

I am excited to announce the release of V1.0 of the F-22 Raptor model! After extensive testing and refinement, this version incorporates valuable feedback and improvements based on the previous iterations.

Key Features:

Enhanced Dataset: This model is trained on a carefully curated dataset of 150 diverse images of the F-22 Raptor, providing a rich variety of contexts and angles to improve the quality of generated images.

Optimized for Quality: The model supports various aspect ratios, including non-default formats like 16:9, allowing for versatile image outputs. This is particularly beneficial for users looking to create high-quality visuals for posters or presentations.

Improved Text Generation: Incorporates posters and text images to enhance text generation capabilities, making it suitable for creative applications that require textual elements in the visuals.

Flexible Tokenization: Utilizes the default Flux tokenizer, which has shown to produce better results in my testing, ensuring that the model effectively understands prompts and generates accurate imagery.

Rich Style Variability: The model includes various styles and logos, enhancing its flexibility and enabling users to create unique designs tailored to their needs.

Quality Control Insights

To ensure the highest standards in this release, I have implemented rigorous quality control measures throughout the development process. For a detailed overview of the quality control protocols and testing methods used, I invite you to read the accompanying article. It provides insights into the evaluation criteria and the steps taken to enhance the model's performance.

Article click here: how i conduct flux lora quality control before release

Performance Note:

While this model demonstrates significant improvements, please remember that it is still in an early release phase. Your feedback is crucial for ongoing enhancements, so I encourage you to share your experiences in the comments.

Contact Information

For inquiries or to discuss commissioning model training, please reach out:

Discord Username: theaiking.2024

Email: [email protected]