water-droplets

26
2
1 language
—
by
Keltezaa
Image Model
OTHER
New
26 downloads
Early-stage
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Quick Summary

Add water droplets to anything, anywhere.

Code Examples

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/water-droplets', weight_name='Water_Droplets.safetensors')
image = pipeline('Your custom prompt').images[0]

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