strangerzonehf/Real-Claymation
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Model description for Real-Claymation
Image Processing Parameters
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 28
Best Dimensions & Inference
Inference Range
- Recommended Inference Steps: 30–35
Setting Up
import torch
from pipelines import DiffusionPipeline
base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "strangerzonehf/Real-Claymation"
trigger_word = "333 Pro Sketch"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)Trigger words
You should use Real Claymation to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
