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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- template:diffusion-lora |
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- '3:2' |
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- Smile |
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- Art |
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- Design |
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widget: |
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- text: >- |
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C33 Design, a close-up shot captures a vibrant blue smiley face, adorned |
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with a black hat adorned with two yellow buttons. The hat is adorned with an |
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eye-level yellow circle with a smiling face, adding a pop of color to the |
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scene. The eyes are glowing blue, creating a striking contrast to the black |
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hat. The helmet is adorned by a black strap, adding depth to the |
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composition. The background is a muted gray, adding to the overall |
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composition. |
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output: |
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url: images/1.png |
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- text: >- |
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C33 Design, A 3D rendering of a persons head and neck is visible. The person |
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is wearing a white long sleeved t-shirt with a blue stripe at the bottom, |
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and a black glove on their left hand. They are holding a white stick in |
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their right hand. The background is a vibrant red, and there is a circular |
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object in the center of the persons neck that has three black circles on it. |
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There is a gold ring on the top left corner of the image. |
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output: |
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url: images/2.png |
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- text: >- |
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C33 Design, a vibrant purple smiley face is adorned with a small red tag |
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that reads "Hello, I am a JPEG". The tag is affixed to the face of the |
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purple face, adding a pop of color to the otherwise monochromatic figure. |
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The figure is wearing a dark blue jacket, with a black backpack strapped to |
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its back. The background is a stark white, creating a stark contrast to the |
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figure. |
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output: |
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url: images/3.png |
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- text: >- |
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C33 Design, a mannequin is adorned with a white hat adorned with black dots |
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and a smiley face. The hat has a yellow circle button in the center of it, |
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adding a pop of color to the scene. The backdrop is a vibrant orange, |
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creating a striking contrast to the white hat and the black jacket. |
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output: |
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url: images/4.png |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: C33 Design |
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license: creativeml-openrail-m |
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--- |
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# Flux-C33-Design-LoRA |
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<Gallery /> |
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**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.** |
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## Model description |
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**prithivMLmods/Flux-C33-Design-LoRA** |
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Image Processing Parameters |
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| Parameter | Value | Parameter | Value | |
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|---------------------------|--------|---------------------------|--------| |
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| LR Scheduler | constant | Noise Offset | 0.03 | |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 | |
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| Network Dim | 64 | Multires Noise Iterations | 10 | |
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| Network Alpha | 32 | Repeat & Steps | 18 & 2450 | |
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| Epoch | 14 | Save Every N Epochs | 1 | |
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Labeling: florence2-en(natural language & English) |
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Total Images Used for Training : 17 |
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## Best Dimensions & Inference |
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| **Dimensions** | **Aspect Ratio** | **Recommendation** | |
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|-----------------|------------------|---------------------------| |
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| 1280 x 832 | 3:2 | Best | |
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| 1024 x 1024 | 1:1 | Default | |
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### Inference Range |
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- **Recommended Inference Steps:** 30–35 |
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## Setting Up |
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```python |
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import torch |
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from pipelines import DiffusionPipeline |
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base_model = "black-forest-labs/FLUX.1-dev" |
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16) |
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lora_repo = "prithivMLmods/Flux-C33-Design-LoRA" |
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trigger_word = "C33 Design" |
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pipe.load_lora_weights(lora_repo) |
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device = torch.device("cuda") |
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pipe.to(device) |
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``` |
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## Trigger words |
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You should use `C33 Design` to trigger the image generation. |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](/prithivMLmods/Flux-C33-Design-LoRA/tree/main) them in the Files & versions tab. |
