Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove", dtype=torch.bfloat16, device_map="cuda")
prompt = "The passion fruit has some brown spots on its skin, giving it a patchy look. The spots are scattered around the surface and make the fruit look less fresh than usual"
image = pipe(prompt).images[0]SD3 DreamBooth - tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove
Model description
These are tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove DreamBooth weights for stabilityai/stable-diffusion-3.5-medium.
The weights were trained using DreamBooth with the SD3 diffusers trainer.
Was the text encoder fine-tuned? False.
Trigger words
You should use The passion fruit has some brown spots on its skin, giving it a patchy look. The spots are scattered around the surface and make the fruit look less fresh than usual to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove', torch_dtype=torch.float16).to('cuda')
image = pipeline('The passion fruit has some brown spots on its skin, giving it a patchy look. The spots are scattered around the surface and make the fruit look less fresh than usual').images[0]
License
Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md).
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove
Base model
stabilityai/stable-diffusion-3.5-medium