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
Update: 17700 steps with partially bumped layer 21
Browse files
text_encoder/config.json
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"_name_or_path": "/notebooks/datasets/models/checkpoint-
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"architectures": [
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"CLIPTextModel"
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"_name_or_path": "/notebooks/datasets/models/checkpoint-17700/text_encoder",
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"architectures": [
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"CLIPTextModel"
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text_encoder/model.safetensors
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size 1361597016
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