garbage-patch

27
3
1 language
by
Keltezaa
Image Model
OTHER
New
27 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary

Try size: 512 x 768 or 768 x 1024 or above Weights: 0.

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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').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/garbage-patch', weight_name='garbagepatch_blondehair_flux.safetensors')
image = pipeline('garbage patch, realistic, blue eyes, blonde hair, smile, sitting, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, shore lights, ').images[0]

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.