import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Arsenalalex108/cburnett-helmet-concept", torch_dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Cburnett-Helmet-Concept Dreambooth model trained by Arsenalalex108 with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Or you can run your new concept via diffusers Colab Notebook for Inference
- Stable Diffusion 1.5
- 20 instance images
- 103 concept images
- 4000 training steps
- 600 text encoder training steps
- 600 text encoder concept training steps
- Style training
- 512 x 512
This model is currently only good at generating headwear and still struggles with other objects
Sample pictures of this concept:
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