Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
iamxenos
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/XenoGASM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/XenoGASM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/XenoGASM", 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
- Draw Things
- DiffusionBee
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v1 of this model with the kl-f8-anime2 VAE baked in for improved details.
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Samples and prompts (if I could show you what this model is really good at, it'd be so hot it'd burn the page; see also: https://huggingface.co/Yntec/aBagOfChips)
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Top left: A cornucopia of vegetables, oil on canvas. steven belledi.
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Top right: 90s movie still blue red teal colored beautiful vintage magazine photograph of knight on Mars playing chess.
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v1 of this model with the kl-f8-anime2 VAE baked in for improved details.
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Samples and prompts (if I could show you what this model is really good at, it'd be so hot it'd burn the page; see also: https://huggingface.co/Yntec/aBagOfChips):
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(Click for larger)
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Top left: A cornucopia of vegetables, oil on canvas. steven belledi.
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Top right: 90s movie still blue red teal colored beautiful vintage magazine photograph of knight on Mars playing chess.
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