import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("n0madic/experience-v7-5", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Experience 7.5
Does not include Noise Offset training
Traditional update to v7.0
Capabilities
NSFW Photography
SFW Photography is also possible, see "Trigger Words" bellow.
Photorealistic 3D renders
human anatomy
Stylized images
Landscapes
Concept Art
Album Art
etc.. This is more of a general purpose model
Trigger Words
I'm not aware of any trigger words that have drastic influence on the generation process.
However, tags such as:
3d render, cartoon | nsfw, sfw, nudity, and erotica
tend to add push the generation (to some degree) in one direction or another. For example, putting sfw in your prompt and nsfw in your negative prompt should push the generation to produce a SFW image.
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