Instructions to use Shakker-Labs/SD3.5-LoRA-Futuristic-Bzonze-Colored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shakker-Labs/SD3.5-LoRA-Futuristic-Bzonze-Colored with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shakker-Labs/SD3.5-LoRA-Futuristic-Bzonze-Colored") prompt = "a woman, Futuristic bzonze-colored" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
SD3.5-LoRA-Futuristic-Bzonze-Colored

- Prompt
- a woman, Futuristic bzonze-colored
- Negative Prompt
- (lowres, low quality, worst quality)

- Prompt
- a cup, Futuristic bzonze-colored
- Negative Prompt
- (lowres, low quality, worst quality)

- Prompt
- a lion, Futuristic bzonze-colored
- Negative Prompt
- (lowres, low quality, worst quality)
Trigger words
You should use Futuristic bzonze-colored to trigger the image generation.
Inference
import torch
from diffusers import StableDiffusion3Pipeline # pip install diffusers>=0.31.0
pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/SD3.5-LoRA-Futuristic-Bzonze-Colored", weight_name="SD35-lora-Futuristic-Bzonze-Colored.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")
prompt = "a cup, Futuristic bzonze-colored"
negative_prompt = "(lowres, low quality, worst quality)"
image = pipe(prompt=prompt,
negative_prompt=negative_prompt
num_inference_steps=24,
guidance_scale=4.0,
width=960, height=1280,
).images[0]
image.save(f"toy_example.jpg")
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Model tree for Shakker-Labs/SD3.5-LoRA-Futuristic-Bzonze-Colored
Base model
stabilityai/stable-diffusion-3.5-large