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--- |
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tags: |
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- text-to-image |
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- stable-diffusion |
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- lora |
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- diffusers |
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- template:sd-lora |
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widget: |
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- text: 'A black ford mustang parked in the parking lot, in the style of futurism influence, uhd image, furaffinity, focus, street photography, thin steel forms, 32k uhd --ar 2:3 --v 5' |
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output: |
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url: images/qqq.png |
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- text: 'Ferrari car f3 458 tt, in the style of liam wong, fujifilm x-t4, multiple exposure, tsubasa nakai, uhd image, pinturicchio, crimson --ar 16:9 --v 5.2' |
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output: |
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url: images/www.png |
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- text: 'Bugatti Veyron in cobalt blue metallic, high detail, octane render, 8k' |
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output: |
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url: images/eee.png |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: Car |
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license: creativeml-openrail-m |
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--- |
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# Car-Flux-Dev-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/Canopus-Car-Flux-Dev-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 | AdamW8bit | 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 | 22 & 1.5K+ | |
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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 : 40+ [ Hi-RES ] |
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& More ............... |
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## Trigger prompts |
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A black ford mustang parked in the parking lot, in the style of futurism influence, uhd image, furaffinity, focus, street photography, thin steel forms, 32k uhd --ar 2:3 --v 5 |
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Ferrari car f3 458 tt, in the style of liam wong, fujifilm x-t4, multiple exposure, tsubasa nakai, uhd image, pinturicchio, crimson --ar 16:9 --v 5.2 |
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Bugatti Veyron in cobalt blue metallic, high detail, octane render, 8k |
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| Parameter | Value | |
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|-----------------|---------------------------------------------------------------------------------------| |
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| Prompt | Bugatti Veyron in cobalt blue metallic, high detail, octane render, 8k | |
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| Sampler | euler | |
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## Setting Up |
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``` |
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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/Canopus-Car-Flux-Dev-LoRA" |
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trigger_word = "car" # Leave trigger_word blank if not used. |
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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 `Car` 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/Canopus-Car-Flux-Dev-LoRA/tree/main) them in the Files & versions tab. |
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