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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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- 3D |
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- Cinematography |
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- OBJ |
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widget: |
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- text: >- |
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Isometric 3D Cinematography, a small boy stands in front of a playmat. The |
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playmat is adorned with a variety of toys, including a car, a fire hydrant, |
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and a fireman. The boy is wearing a short-sleeved blue t-shirt, and tan |
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pants. The floor is made of light-colored wood planks, and the walls are |
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painted white. To the right of the boy is a wooden shelf, and to the left of |
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the shelf is a green bench. The shelf is filled with various toys, and there |
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is a window in the background. |
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output: |
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url: images/IS1.png |
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- text: >- |
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Isometric 3D Cinematography, An outdoor view of a white dog with a black |
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collar. The dog is facing towards the right side of the image. There is a |
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white building to the right of the dog. There are windows on the building. |
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To the left of the white dog is a tree with yellow leaves on it. The tree is |
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casting a shadow on the ground. The ground is covered with leaves. |
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output: |
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url: images/IS2.png |
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- text: >- |
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Isometric 3D Cinematography, An aerial view of a large tree in the middle of |
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a road. The tree is surrounded by small bushes and shrubs. There are two |
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cars parked on the left side of the road. There is a small white house on |
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the right side. The house has a brown roof and white windows. The trees are |
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casting shadows on the ground. |
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output: |
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url: images/IS3.png |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: Isometric 3D Cinematography |
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license: creativeml-openrail-m |
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--- |
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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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**strangerzonehf/Flux-Isometric-3D-Cinematography** |
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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 | 28 & 3900 | |
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| Epoch | 25 | Save Every N Epochs | 1 | |
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Labeling: florence2-en(natural language & English) |
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Total Images Used for Training : 24 |
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## Best Dimensions |
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- 768 x 1024 (Best) |
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- 1024 x 1024 (Default) |
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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-Isometric-3D-Cinematography" |
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trigger_word = "Isometric 3D Cinematography" |
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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 `Isometric 3D Cinematography` 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-Isometric-3D-Cinematography/tree/main) them in the Files & versions tab. |
