Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
computer vision
stable-diffusion
stable-diffusion-2-1
photography
photoreal
Instructions to use bghira/pseudo-real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/pseudo-real with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bghira/pseudo-real", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Deprecation notice
a4f3c31 -
Add a model card
b8fe228
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200 steps trained @ 150 batch size on 1080p and portrait images
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200 steps trained @ 150 batch size on 1080p and portrait images
d32e573
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Update: 17700 steps with partially bumped layer 21
774dcaa
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Fix
6c3d7cb -
Fix
f84ca34 -
Initial commit, 15600 steps
4db87bf -
initial commit
ca86f9b