import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("FallenIncursio/Animice_and_Doe", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Animice & Doe v1
Based on Anima v1
|
|
|
|
|
|
Recommended Settings
- Positive prompt:
masterpiece, best quality, score_7. I recommend to promptlipsas well for the extra juice. - Negative prompt:
score_1, score_2, score_3, blurry, jpeg artifacts, lowres, worst quality, low quality, bad hands, bad anatomy, signature, watermark, censor, bar censor, mosaic censorship, mosaic censor, patreon logo, patreon username, twitter username, twitter logo, simple background, - CFG Scale: 5
- Sampler:
Euler a - Resolution:
832x1216or1216x832or1024x1024
- Downloads last month
- 49
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for FallenIncursio/Animice_and_Doe
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima