Instructions to use zz001/model_card with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zz001/model_card with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lanxi24/BBB-bbb", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zz001/model_card") prompt = "1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lanxi24/BBB-bbb", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("zz001/model_card")
prompt = "1"
image = pipe(prompt).images[0]aaa

- Prompt
- 1
- Negative Prompt
- 2

- Prompt
- 3
- Negative Prompt
- 4
Model description
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Trigger words
You should use a to trigger the image generation.
You should use b to trigger the image generation.
You should use c to trigger the image generation.
Download model
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Base model
Lanxi24/BBB-bbb