Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use wavymulder/lomo-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavymulder/lomo-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavymulder/lomo-diffusion", 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
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Parent(s): 14db032
Update README.md
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README.md
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@@ -25,7 +25,7 @@ When using most models, I typically use **blur haze** in my negative prompt. I e
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Trained from 1.5 with VAE.
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Please see [this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.](
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You can [see here a non-cherrypicked batch of 49 images here.](https://i.imgur.com/SNKpXL3.jpg)
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Trained from 1.5 with VAE.
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Please see [this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.](https://huggingface.co/wavymulder/lomo-diffusion/resolve/main/paramets_for_samples.txt)
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You can [see here a non-cherrypicked batch of 49 images here.](https://i.imgur.com/SNKpXL3.jpg)
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