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TRELLIS-text-xlarge

Text-to-3D
Trellis
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Update pipeline.json

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Files changed (1) hide show
  1. pipeline.json +59 -59
pipeline.json CHANGED
@@ -1,60 +1,60 @@
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- {
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- "name": "TrellisTextTo3DPipeline",
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- "args": {
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- "models": {
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- "sparse_structure_decoder": "JeffreyXiang/TRELLIS-image-large/ckpts/ss_dec_conv3d_16l8_fp16",
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- "sparse_structure_flow_model": "ckpts/ss_flow_txt_dit_XL_16l8_fp16",
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- "slat_decoder_gs": "JeffreyXiang/TRELLIS-image-large/ckpts/slat_dec_gs_swin8_B_64l8gs32_fp16",
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- "slat_decoder_rf": "JeffreyXiang/TRELLIS-image-large/ckpts/slat_dec_rf_swin8_B_64l8r16_fp16",
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- "slat_decoder_mesh": "JeffreyXiang/TRELLIS-image-large/ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp16",
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- "slat_flow_model": "ckpts/slat_flow_txt_dit_XL_64l8p2_fp16"
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- },
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- "sparse_structure_sampler": {
13
- "name": "FlowEulerGuidanceIntervalSampler",
14
- "args": {
15
- "sigma_min": 1e-5
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- },
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- "params": {
18
- "steps": 25,
19
- "cfg_strength": 7.5,
20
- "cfg_interval": [0.5, 0.95],
21
- "rescale_t": 3.0
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- }
23
- },
24
- "slat_sampler": {
25
- "name": "FlowEulerGuidanceIntervalSampler",
26
- "args": {
27
- "sigma_min": 1e-5
28
- },
29
- "params": {
30
- "steps": 25,
31
- "cfg_strength": 7.5,
32
- "cfg_interval": [0.5, 0.95],
33
- "rescale_t": 3.0
34
- }
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- },
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- "slat_normalization": {
37
- "mean": [
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- -2.1687545776367188,
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- -0.004347046371549368,
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- -0.13352349400520325,
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- -0.08418072760105133,
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- -0.5271206498146057,
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- 0.7238689064979553,
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- -1.1414450407028198,
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- 1.2039363384246826
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- ],
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- "std": [
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- 2.377650737762451,
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- 2.386378288269043,
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- 2.124418020248413,
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- 2.1748552322387695,
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- 2.663944721221924,
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- 2.371192216873169,
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- 2.6217446327209473,
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- 2.684523105621338
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- ]
57
- },
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- "text_cond_model": "openai/clip-vit-large-patch14"
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- }
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  }
 
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+ {
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+ "name": "TrellisTextTo3DPipeline",
3
+ "args": {
4
+ "models": {
5
+ "sparse_structure_decoder": "ckpts/ss_dec_conv3d_16l8_fp16",
6
+ "sparse_structure_flow_model": "ckpts/ss_flow_txt_dit_XL_16l8_fp16",
7
+ "slat_decoder_gs": "ckpts/slat_dec_gs_swin8_B_64l8gs32_fp16",
8
+ "slat_decoder_rf": "ckpts/slat_dec_rf_swin8_B_64l8r16_fp16",
9
+ "slat_decoder_mesh": "ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp16",
10
+ "slat_flow_model": "ckpts/slat_flow_txt_dit_XL_64l8p2_fp16"
11
+ },
12
+ "sparse_structure_sampler": {
13
+ "name": "FlowEulerGuidanceIntervalSampler",
14
+ "args": {
15
+ "sigma_min": 1e-5
16
+ },
17
+ "params": {
18
+ "steps": 25,
19
+ "cfg_strength": 7.5,
20
+ "cfg_interval": [0.5, 0.95],
21
+ "rescale_t": 3.0
22
+ }
23
+ },
24
+ "slat_sampler": {
25
+ "name": "FlowEulerGuidanceIntervalSampler",
26
+ "args": {
27
+ "sigma_min": 1e-5
28
+ },
29
+ "params": {
30
+ "steps": 25,
31
+ "cfg_strength": 7.5,
32
+ "cfg_interval": [0.5, 0.95],
33
+ "rescale_t": 3.0
34
+ }
35
+ },
36
+ "slat_normalization": {
37
+ "mean": [
38
+ -2.1687545776367188,
39
+ -0.004347046371549368,
40
+ -0.13352349400520325,
41
+ -0.08418072760105133,
42
+ -0.5271206498146057,
43
+ 0.7238689064979553,
44
+ -1.1414450407028198,
45
+ 1.2039363384246826
46
+ ],
47
+ "std": [
48
+ 2.377650737762451,
49
+ 2.386378288269043,
50
+ 2.124418020248413,
51
+ 2.1748552322387695,
52
+ 2.663944721221924,
53
+ 2.371192216873169,
54
+ 2.6217446327209473,
55
+ 2.684523105621338
56
+ ]
57
+ },
58
+ "text_cond_model": "openai/clip-vit-large-patch14"
59
+ }
60
  }