import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("igorshmel/arisha-charcoal-v3", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]arisha_charcoal_v3 Dreambooth model trained by igorshmel with TheLastBen's fast-DreamBooth notebook
promt: lemsahsira, laocrahcv negative promt: lowres, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, jpeg artifacts, signature, watermark, username, ((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), extra limbs, gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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