pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("mrdave99us/supadavetron", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]SupaDaveTron Dreambooth model trained by mrdave99us 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
Sample pictures of this concept:
00051-1096805334-trnlgcy
00049-1096805332-trnlgcy
00068-3937031890-[person]
00083-164417541-SupaDaveTron
00022-2698319271-SupaDave
00183-3577450316-SupaDaveTran
![00068-3937031890-[person] 3](https://huggingface.co/mrdave99us/supadavetron/resolve/main/sample_images/00068-3937031890-%5Bperson%5D_in_the_style_of_trnlgcy_movie_poster,_orange_neon.png)
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# Gated model: Login with a HF token with gated access permission hf auth login