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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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- C4C |
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- ART |
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- Design |
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widget: |
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- text: >- |
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Smiley C4C, a close-up of a persons head is visible. The person is wearing a |
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gray sweater, adorned with a silver chain around their neck, and a silver |
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helmet on their head. The helmet is adorned with two cork-like objects, each |
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with a light shining on it, adding a touch of warmth to the scene. The |
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background is a dark blue, creating a stark contrast to the silver helmet. |
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output: |
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url: images/1.png |
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- text: >- |
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Smiley C4C, a cartoon character is seen wearing a black t-shirt with an |
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orange and yellow graphic on the front. The character is wearing a helmet |
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that is shaped like a face, with two small round objects sticking out of the |
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helmet. The helmet is adorned with two circular objects on top of it, one of |
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which is a light brown color and the other is a darker brown color. The |
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background is a dark brown. |
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output: |
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url: images/2.png |
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- text: >- |
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Smiley C4C, Captured from a low-angle perspective on a vibrant blue |
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backdrop, a man dressed in a white Adidas t-shirt, adorned with a bright |
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yellow helmet and goggles. The helmet is adorned with two white knobs on the |
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top of the helmet, adding a pop of color to the scene. The mans shirt is |
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adorned in a blue collar with a blue adidas logo and a green tennis racket |
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hanging from the bottom right corner of the frame. |
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output: |
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url: images/3.png |
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- text: >- |
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Smiley C4C, Captured from a low-angle perspective on a vibrant blue |
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backdrop, a vibrant yellow helmet adorned with a smiley face and a gold |
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chain around the eyes. The helmet is adorned with two handles on either side |
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of the helmet, adorned with gold chains, adding a pop of color to the |
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otherwise monochromatic scene. The shirt below the helmet is a plain yellow |
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t-shirt adorned with the word "Smile" in bold white letters. |
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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: Smiley C4C |
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license: creativeml-openrail-m |
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--- |
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<Gallery /> |
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## Model description for C4C 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 | 25 & 3100 | |
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| Epoch | 15 | Save Every N Epochs | 1 | |
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Labeling: florence2-en(natural language & English) |
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Total Images Used for Training : 14 |
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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 = "strangerzonehf/Flux-C4C-Design-LoRA" |
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trigger_word = "Smiley C4C" |
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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 `Smiley C4C` 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](/strangerzonehf/Flux-C4C-Design-LoRA/tree/main) them in the Files & versions tab. |
