Instructions to use abhiimanyu/newvid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abhiimanyu/newvid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/pilgrimPonyxl_v3GMG", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("abhiimanyu/newvid") prompt = "generate a cyber security office" 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("Niggendar/pilgrimPonyxl_v3GMG", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("abhiimanyu/newvid")
prompt = "generate a cyber security office"
image = pipe(prompt).images[0]vidgen

- Prompt
- generate a cyber security office
- Negative Prompt
- ugly
Trigger words
You should use messages to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for abhiimanyu/newvid
Base model
Niggendar/pilgrimPonyxl_v3GMG