File size: 3,840 Bytes
728683f dfe795c 728683f dfe795c 728683f dfe795c 728683f dfe795c 728683f 8ad965c 728683f 8ad965c 728683f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 |
---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: 'A pig is standing in the grass next to a red barn, in the style of playful expressions, light white and pink, candid, close up, motion blur --ar 64:45 --v 6.0 --style raw'
output:
url: images/555.png
- text: 'Small calf standing in field at sunset, in the style of y2k aesthetic, baroque animals, rusticcore, beige and amber, flickr, petcore --ar 2:3 --style raw --v 5.1'
output:
url: images/666.png
- text: 'Dog walking in the grass near the mountain, in the style of maurizio cattelan, contax t2, strong facial expression, monumental vistas, associated press photo, close-up, frenchy --ar 3:2 --style raw --v 5.1'
output:
url: images/777.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: animal, bird, cub
license: apache-2.0
---
# Canopus-Animaliea-Artism
<Gallery />
**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
## Model description
Canopus-Pixar-Art
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat | 25 |
| Epoch | 13 | Save Every N Epochs | 1 |
## SETTING-UP
```py
pipe = StableDiffusionXLPipeline.from_pretrained(
"-------------xxxxxxxxx----------",
torch_dtype=torch.float16,
use_safetensors=True,
)
(or)
-----------------------------------------------------------
pipe = StableDiffusionXLPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16,
use_safetensors=True,
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.load_lora_weights("prithivMLmods/Canopus-Animaliea-Artism", weight_name=" Canopus-Animaliea-Artism.safetensors", adapter_name="Animaliea")
pipe.set_adapters("Animaliea")
pipe.to("cuda")
```
## Trigger prompts
A pig is standing in the grass next to a red barn, in the style of playful expressions, light white and pink, candid, close up, motion blur --ar 64:45 --v 6.0 --style raw
Small calf standing in field at sunset, in the style of y2k aesthetic, baroque animals, rusticcore, beige and amber, flickr, petcore --ar 2:3 --style raw --v 5.1
Dog walking in the grass near the mountain, in the style of maurizio cattelan, contax t2, strong facial expression, monumental vistas, associated press photo, close-up, frenchy --ar 3:2 --style raw --v 5.1
| Parameter | Value |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt | A pig is standing in the grass next to a red barn, in the style of playful expressions, light white and pink, candid, close up, motion blur --ar 64:45 --v 6.0 --style raw |
| Sampler | euler |
## Trigger words
You should use `animal` to trigger the image generation.
You should use `bird` to trigger the image generation.
You should use `cub` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Canopus-Animaliea-Artism/tree/main) them in the Files & versions tab.
|