Instructions to use WardGo/the-rock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WardGo/the-rock with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WardGo/the-rock") prompt = "photo of th3r0ck , he is wearing a military clothes, military cap, in battleground destroyed city. dramatic lighting <lora:TheRockV3:0.9>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
the-rock-lora

- Prompt
- photo of th3r0ck , he is wearing a military clothes, military cap, in battleground destroyed city. dramatic lighting <lora:TheRockV3:0.9>
- Negative Prompt
- (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck
Trigger words
You should use th3r0ck 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 WardGo/the-rock
Base model
Jiali/stable-diffusion-1.5