Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
image-to-image
art
artistic
dreambooth
Instructions to use zuleo/spop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zuleo/spop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zuleo/spop", 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
Updated readme to use grid images
Browse files
README.md
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@@ -21,9 +21,10 @@ The goal of this model is to capture the _style_ - not the individual characters
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> π **Disclaimer**: This is my favorite show. I won't go into that here but a lot of love went into this model.
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---
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## π
text2img Range Grids
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It's always great to get a visual of what's going on with sampler, CFG scale, and other settings. See the examples below and tune them to your liking.
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> π **Disclaimer**: This is my favorite show. I won't go into that here but a lot of love went into this model.
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## Model Usage
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### π€ dwspop style examples
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This token is capable of handling multiple genders and uses `person` which can be then used for `woman`, `man`,
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or `cat-like woman`, or even `lizard`, `dog`, `snoop dog`... it's awesome:
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### π dwspop space examples
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The space token is versatile when prompting, especially when generating galaxies and solar systems. This token is capable of handling different camera angles by desribing in your prompts as a `scene`.
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- ```a scene of outer space with asteroids and rocks floating in space getting melted by a bright light, dwspop space```
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### π² dwspop forest forest examples
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The forest token is able to generate random forest scenes due to the regularization images that were used. When prompting, additional enviromental objects are supported, such as `crystals`, `rocks`, `flowers`, `cottage`. Finally, mix in time of day: `sunrise`, `dawn`, `sunset`, `evening`.
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- ```a beautiful photo of a path in a forest with glowing lights and rocks and trees on either side of the path, dwspop forest```
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### π dwspop landscape examples:
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The landscape token is primarly for landscapes but also supports a small percentage of architecture. Blending your prompts to have both an establishing shot of a landscape with architecture woven in and out is where this token shines.
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- ```a scene of a weapon shop that has many different swords hanging on the wall and arrows and staffs inside of barrels, a small shop with a tent in the background, dwspop landscape```
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---
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## π
text2img Range Grids
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It's always great to get a visual of what's going on with sampler, CFG scale, and other settings. See the examples below and tune them to your liking.
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