import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("StarkEater/TianNimaNoobAIXLvpred1_0_eqb7_270426_1024", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]The 1024 finetune. Generate at 1024 and nearest.
Edit: I am being rate limited, so I cannot upload yet.
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Model tree for StarkEater/TianNimaNoobAIXLvpred1_0_eqb7_270426_1024
Base model
Laxhar/noobai-XL-Vpred-0.5 Finetuned
Laxhar/noobai-XL-Vpred-0.6 Finetuned
Laxhar/noobai-XL-Vpred-0.65 Finetuned
Laxhar/noobai-XL-Vpred-0.75 Finetuned
Laxhar/noobai-XL-Vpred-1.0 Finetuned
StarkEater/NoobAIXLvpred10EQB7