StableDiffusion
Tips, experience, generations etc.
As of 17.4.2023: A SD 2.1 notebook with GUI: https://colab.research.google.com/github/qunash/stable-diffusion-2-gui/blob/main/stable_diffusion_2_0.ipynb#scrollTo=6x8gRvmV3ieY
29.4.2023: Xformers seem to be unsupported already, uncheck the checkbox before installing the dependencies! Try to use fine-tuned models; can't find the .cpkt file See DreamBooth etc., research. https://civitai.com/models/28112/xsarchitectural-interiordesign-forxslora?fbclid=IwAR0-sELPmYN3wgQ8zQrSF6oRyZs2pUkdR-H-b3WHLNeZN36tgTqX70OMNsc
biomechanoid cloning starbase landscape with nebula background
biomechanoid towers on valley landscape with nebula background
blueprints for economically viable nuclear fusion reactor
futuristic geiger space background side scrolling mechanical forest
futuristic geiger space background side scrolling mechanical forest
from torch import autocast
num_images = 3
generator = torch.Generator("cuda").manual_seed(1024)
prompt = ["futuristic geiger space background side scrolling mechanical forest"] * num_images
with autocast("cuda"):
images = pipe(prompt=prompt, num_inference_steps=70, guidance_scale=10, generator=generator)["sample"]
#default=50, 7-8.5
grid = image_grid(images, rows=1, cols=3)
grid
futuristic geiger space background side scrolling mechanical forest
from torch import autocast
num_images = 3
generator = torch.Generator("cuda").manual_seed(9876)
prompt = ["futuristic geiger space background side scrolling mechanical forest"] * num_images
...
images = pipe(prompt=prompt, num_inference_steps=70, guidance_scale=11, generator=generator)["sample"]
futuristic geiger space background side scrolling mechanical forest
images = pipe(prompt=prompt, num_inference_steps=71, guidance_scale=11, generator=generator)["sample"]
futuristic geiger space background side scrolling mechanical forest
manual_seed(9877)
futuristic giger space mountain perspective tunnel background side scrolling mechanical nanotechnology forest
prompt = ["futuristic giger space mountain perspective tunnel background side scrolling mechanical nanotechnology forest"] * num_images
manual_seed(9877)
images = pipe(prompt=prompt, num_inference_steps=72, guidance_scale=10, generator=generator)["sample"]
#default=50, 7-8.5
mechanical insectoid cityscape spindly angelic structure with nebula background
from torch import autocast
num_images = 3
generator = torch.Generator("cuda").manual_seed(9877)
prompt = ["mechanical insectoid cityscape spindly angelic structure with nebula background"] * num_images
with autocast("cuda"):
images = pipe(prompt=prompt, num_inference_steps=66, guidance_scale=9, generator=generator)["sample"]
#default=50, 7-8.5
grid = image_grid(images, rows=1, cols=3)
grid
mechanical insectoid cityscape spindly angelic structure with nebula background
from torch import autocast
num_images = 3
generator = torch.Generator("cuda").manual_seed(1111)
mechanical insectoid cityscape spindly angelic structure with nebula background
Same parameters (little diff.)
photoreal biomechanical space hotel lobby
Same parameters
side scrolling H.R giger alien cityscape roman