import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("igorshmel/real-charcoal", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]real_charcoal Dreambooth model trained by igorshmel with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
Promt: laocrahc, a sensual girl, gorgious look, film grain, Fujifilm XT3 Negative prompt: (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, cartoon, anime:1.4), text, close up, 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 Steps: 18, Sampler: DPM++ 2S a Karras, CFG scale: 10, Seed: 1652242952, Size: 768x512, Model hash: 083d0f4478, Model: laocrahc, Denoising strength: 0.8, Mask blur: 4
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