Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
jax-diffusers-event
Instructions to use bguisard/stable-diffusion-nano-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bguisard/stable-diffusion-nano-2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bguisard/stable-diffusion-nano-2-1", torch_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
sample size again (#3)
Browse files- sample size again (9f47f72e526f16d0d8f2956a7c127b1a085fa537)
Co-authored-by: Radamés Ajna <radames@users.noreply.huggingface.co>
- unet/config.json +1 -1
unet/config.json
CHANGED
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@@ -34,7 +34,7 @@
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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-
"sample_size":
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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+
"sample_size": 16,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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